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When and how to use long-acting injectable antipsychotics

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Tue, 12/11/2018 - 14:48
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When and how to use long-acting injectable antipsychotics

Discuss this article at www.facebook.com/CurrentPsychiatry

 

Practice Points

• Long-acting injectable antipsychotics (LAIs) are an important therapeutic option for patients with schizophrenia that allows clinicians to tailor pharmacotherapy to each patient’s needs.

• When selecting a specific LAI, consider class similarities and individual antipsychotic differences.

• Although some LAIs are expensive, they potentially reduce the financial burden of schizophrenia and improve quality of life.

Long-acting injectable antipsychotics (LAIs) are a pharmacotherapeutic option to help clinicians individualize schizophrenia treatment. LAIs have been available since the 1960s, starting with fluphenazine and later haloperidol; however, second-generation antipsychotics were not available in the United States until 20071,2 and more are in development (Box).3,4

Box

 

Long-acting injectable antipsychotics in development

Aripiprazole microsphere long-acting injectable (LAI) is a phase III investigational drug that at press time was being reviewed by the FDA. This formulation appears to be similar to risperidone LAI. The active antipsychotic differs in side effect profile and pharmacokinetics. Because the pharmaceutical science of microsphere construction allows many variations, it is not possible to determine the strengths and weaknesses of aripiprazole LAI compared with risperidone LAI microspheres at this time. The dosing intervals currently under investigation are 14 and 28 days.3

Iloperidone crystalline LAI is a phase II-III investigational drug. FDA registration documents and early publication and presentation data report that iloperidone LAI will be a crystalline salt structure pharmaceutically similar to paliperidone and olanzapine LAI formulations.4 The dosing interval under investigation is 28 days.

Up to one-half of patients with schizophrenia do not adhere to their medications.5 LAI use may mitigate relapse in acute schizophrenia that is caused by poor adherence to oral medications. LAIs may have a lower risk of dose-related adverse effects because of lower peak antipsychotic plasma levels and less variation between peak and trough plasma levels. LAIs may decrease the financial burden of schizophrenia and increase individual quality of life because patients spend fewer days hospitalized due to acute exacerbations.6

Some widely used schizophrenia treatment algorithms, such as the Harvard Schizophrenia Algorithm, neglect LAIs. Also, LAIs have not been well studied for maintenance treatment of bipolar disorder (BD) even though nonadherence is a substantial problem in these patients. Patients, families, and legal guardians may choose LAI antipsychotics over oral formulations to decrease the frequency and severity of psychotic relapse or for convenience because patients who receive LAIs do not need to take a medication every day.

Understanding the similarities and differences among LAIs7 and potential interpatient variability of each LAI allows prescribers to tailor the dosing regimen to the patient more safely and efficiently (Table).1,8-11 All LAI antipsychotic formulations rely on absorption pharmacokinetics (PK) rather than elimination PK, which generally is true for sustained-release oral formulations as well. Absorption half-life duration and absorption half-life variability are key concepts in LAI dosing.

Table

Characteristics of long-acting injectable antipsychotics

 

AntipsychoticOral elimination half-lifeFormulationAbsorption half-lifeTime between injectionsClinically relevant PK/PD variabilityaOral overlapping taper necessary?Loading dose possible?
Fluphenazine1 dayDecanoate in organic oil14 days7 to 21 days+++YesNo
Haloperidol1 dayDecanoate in organic oil21 days28 days+/-NoYes
Olanzapine1.5 daysPamoate crystalline30 days14 to 28 days++MaybeNo
Risperidone1 dayMicrospheres5 days14 days++YesNo
Paliperidone1 dayPalmitate crystalline45 days28 days+NoYes
aMore + indicates greater variability among patients
PD: pharmacodynamics; PK: pharmacokinetics
Source: References 1,8-11

Clinical pearls

Before prescribing an LAI, check that your patient has no known contraindications to the active drug or delivery method. Peak-related adverse effects typically are not contraindications, although they may prompt you to start at a lower dose.

Ensure that your patient will have long-term outpatient access to the LAI and the entire treatment team—inpatient and outpatient—is committed to LAI treatment.

 

Do not rule out first-generation LAIs such as haloperidol and fluphenazine. The Clinical Antipsychotic Trials of Intervention Effectiveness study, Cost Utility of the Latest Antipsychotic Drugs in Schizophrenia Study, and other published data suggest older antipsychotics are not inferior to newer medications.12,13

Verify that your patient has had an oral trial of the active drug—ideally in the last 12 months—that resulted in at least partial positive response and no serious adverse drug effects (ADEs). Oral medications’ shorter duration of action may help identify ADEs before administering an LAI.1

Discontinue the oral medication as quickly as evidence, guidance, and good clinical judgment allow. Develop a plan to transition from oral to LAI that you will follow unless the patient develops intolerable ADEs or other problems. There is no evidence to suggest that patients who receive partial LAI therapy decompensate less frequently or less severely than those who take oral medication.

 

 

If antipsychotic polypharmacy is necessary, document your rationale.

In patients who are naïve to a specific LAI dosage form, ensure that the first dose does not exceed FDA and evidence-based guidelines for the initial dose (eg, 100 mg intramuscular [IM] for haloperidol decanoate).1

Consider a loading dose strategy to minimize the time a patient has to take an oral and LAI antipsychotic combination.14

Ensure that the total volume injected intramuscularly is not >3 ml per injection site per dose.

Use the recommended injection technique for the particular LAI (eg, Z-tract).1,15

Individualize the dose and dosing interval based on patient response, peak-related adverse effects (time to peak is approximately 5 half-lives for most drugs), and possible reduced symptom control at the end of the dosing interval.8

If your patient does not respond as expected, taking an antipsychotic plasma level to assess drug metabolism and other PK factors and characteristics may be useful.

LAI options

Fluphenazine decanoate is an older, inexpensive LAI with considerable interpatient variability in absorption rate and peak effects, and a relatively short duration of action. Dosing every 7 days may be necessary to avoid peak plasma level adverse effects or symptom recurrence. Variable PK make it difficult to accurately calculate an empiric conversion dose from oral to LAI; therefore, start at the low end (eg, 1.2 to 1.6 times the total daily oral dose) or 12.5 or 25 mg for the initial IM fluphenazine decanoate dose. A short overlap period—usually 1 to 2 weeks—may be necessary. Successful subcutaneous administration is possible.2

Haloperidol decanoate. A 28-day dosing interval is effective for most patients. It is possible to administer a loading dose so that no overlapping taper is required. My team has had good results using an initial loading dose 15 to 20 times the effective oral dose and a second dose 28 days later of 10 times the oral daily maintenance dose, with the same dose every month thereafter. If a patient is receiving his or her first haloperidol decanoate injection, the initial dose should not exceed 100 mg. The remainder of the loading dose may be administered 3 to 7 days later if no adverse effects occur. Similar to fluphenazine decanoate, haloperidol decanoate is relatively inexpensive. When considering giving a haloperidol decanoate loading dose >400 mg or a maintenance dose >200 mg every 28 days, carefully document the rationale (eg, rapid metabolism).16

Olanzapine pamoate. Clinicians who administer olanzapine pamoate must enroll in a national registry that documents the incidence of rare but serious ADEs, particularly hypotension, orthostatis, and post-injection delirium/sedation syndrome (0.1% incidence) at every injection, not just for drug-naïve patients. Patients should be observed for 3 hours after every dose and oral medication overlap may be necessary in some cases.10 Similar to clozapine, these monitoring difficulties and the expense may have inhibited olanzapine LAI use, even in patients who are likely to benefit.

 

Risperidone microspheres. This agent has been evolutionary, if not revolutionary, in schizophrenia treatment and data on its efficacy for BD will be available soon. Its 2-week dosing interval, necessity of oral overlap, and anecdotal reports of “dose dumping” possibly because of fragility of the microsphere formulation suggest the need for an improved version, which was addressed by the introduction of paliperidone palmitate.10,17,18

Paliperidone palmitate has a 28-day dosing interval. No overlapping oral taper is necessary. Details of a week-long, 2-dose loading dose strategy is provided in the package insert.11 It may be safe to use a more aggressive loading dose strategy.15,19

 

Related Resources

 

  • Rothschild AJ. The evidence-based guide to antipsychotic medications. Arlington, VA: American Psychiatric Publishing, Inc.; 2010.
  • Cañas F, Möller HJ. Long-acting atypical injectable antipsychotics in the treatment of schizophrenia: safety and tolerability review. Expert Opin Drug Saf. 2010;9(5):683-697.

Drug Brand Names

 

  • Aripiprazole • Abilify
  • Fluphenazine deconoate • Prolixin Deconoate
  • Haloperidol deconoate • Haldol Deconoate
  • Iloperidone • Fanapt
  • Olanzapine pamoate • Zyprexa Relprevv
  • Paliperidone palmitate • Invega Sustenna
  • Risperidone • Risperdal Consta

Disclosures

Dr. Kennedy receives grant or research support from Janssen and Johnson and Johnson.

References

 

1. Haloperidol decanoate [package insert]. Irvine CA: Teva Parenteral Medicines, Inc; 2009.

2. Fluphenazine decanoate [package insert]. Schaumburg IL: APP Pharmaceuticals, LLC; 2010.

3. A study of ALKS 9072 in subjects with chronic stable schizophrenia. http://clinicaltrials.gov/ct2/show/NCT01493726. Published December 12 2011. Accessed December 16, 2011.

4. Hill CL, Phadke D, Boyce KM. Four-week iloperidone depot injectable: safety and pharmacokinetic profile in patients with schizophrenia and schizoaffective disorder. Poster presented at: 161st annual meeting of the American Psychiatric Association; May 3-8 2008; Washington, DC.

5. Lacro JP, Dunn LB, Dolder CR, et al. Prevalence of and risk factors for medication nonadherence in patients with schizophrenia: a comprehensive review of recent literature. J Clin Psychiatry. 2002;63(10):892-909.

6. Keith SJ, Kane JM, Turner M, et al. Academic highlights: guidelines for the use of long-acting injectable atypical antipsychotics. J Clin Psychiatry. 2004;65(1):120-131.

7. McEvoy JP. Risks versus benefits of different types of long-acting injectable antipsychotics. J Clin Psychiatry. 2006;67 (suppl 5):15-18.

8. Gitlin M, Midha KK, Fogelson D, et al. Persistence of fluphenazine in plasma after decanoate withdrawal. J Clin Psychopharmacol. 1988;8(1):53-56.

9. Wilson WH. A visual guide to expected blood levels of long-acting injectable risperidone in clinical practice. J Psychiatr Pract. 2004;10(6):393-401.

10. Zyprexa Relprevv [package insert]. Indianapolis IN: Eli Lilly and Company; 2011.

11. Invega Sustenna [package insert]. Titusville NJ: Janssen, Division of Ortho-McNeil-Janssen Pharmaceuticals, Inc; 2011.

12. Lieberman JA, Stroup TS, McEvoy JP, et al. Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) Investigators. Effectiveness of antipsychotic drugs in patients with chronic schizophrenia. N Engl J Med. 2005;353(12):1209-1223.

13. Jones PB, Barnes TR, Davies L, et al. Randomized controlled trial of effect on quality of life of second- vs first-generation antipsychotic drugs in schizophrenia. Cost Utility of the Latest Antipsychotic Drugs in Schizophrenia Study (CUtLASS 1). Arch Gen Psychiatry. 2006;63(10):1079-1087.

14. Wei FC, Jann MW, Lin HN, et al. A practical loading dose method for converting schizophrenic patients from oral to depot haloperidol therapy. J Clin Psychiatry. 1996;57(7):298-302.

15. Samtani MN, Vermeulen A, Stuyckens K. Population pharmacokinetics of intramuscular paliperidone palmitate in patients with schizophrenia. Clin Pharmacokinetics. 2009;48(9):585-600.

16. Kapur SJ, Zipursky R, Jones C, et al. Relationship between dopamine D2 occupancy, clinical response and side effects: a double-blind PET study of first-episode schizophrenia. Am J Psychiatry. 2000;157(4):514-520.

17. Deeks ED. Risperidone long-acting injection: in bipolar I disorder. Drugs. 2010;70(8):1001-1012.

18. Risperdal Consta [package insert]. Titusville NJ: Janssen, Division of Ortho-McNeil-Janssen Pharmaceuticals, Inc; 2011.

19. Samtani MN, Haskins JT, Alphs L, et al. Initiation dosing of deltoid intramuscular paliperidone palmitate in schizophrenia – pharmacokinetic rationale based on modeling and simulation. Poster presented at: 49th annual NCDEU meeting; June 29-July 2, 2009; Hollywood, FL.

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William Klugh Kennedy, PharmD, BCPP, FASHP
Dr. Kennedy is Clinical Associate Professor of Pharmacy Practice and Psychiatry, Mercer University, Memorial University Medical Center, Savannah, GA

Vicki L. Ellingrod, PharmD, BCPP, FCCP
Series Editor

Issue
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William Klugh Kennedy, PharmD, BCPP, FASHP
Dr. Kennedy is Clinical Associate Professor of Pharmacy Practice and Psychiatry, Mercer University, Memorial University Medical Center, Savannah, GA

Vicki L. Ellingrod, PharmD, BCPP, FCCP
Series Editor

Author and Disclosure Information

 

William Klugh Kennedy, PharmD, BCPP, FASHP
Dr. Kennedy is Clinical Associate Professor of Pharmacy Practice and Psychiatry, Mercer University, Memorial University Medical Center, Savannah, GA

Vicki L. Ellingrod, PharmD, BCPP, FCCP
Series Editor

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Discuss this article at www.facebook.com/CurrentPsychiatry

 

Practice Points

• Long-acting injectable antipsychotics (LAIs) are an important therapeutic option for patients with schizophrenia that allows clinicians to tailor pharmacotherapy to each patient’s needs.

• When selecting a specific LAI, consider class similarities and individual antipsychotic differences.

• Although some LAIs are expensive, they potentially reduce the financial burden of schizophrenia and improve quality of life.

Long-acting injectable antipsychotics (LAIs) are a pharmacotherapeutic option to help clinicians individualize schizophrenia treatment. LAIs have been available since the 1960s, starting with fluphenazine and later haloperidol; however, second-generation antipsychotics were not available in the United States until 20071,2 and more are in development (Box).3,4

Box

 

Long-acting injectable antipsychotics in development

Aripiprazole microsphere long-acting injectable (LAI) is a phase III investigational drug that at press time was being reviewed by the FDA. This formulation appears to be similar to risperidone LAI. The active antipsychotic differs in side effect profile and pharmacokinetics. Because the pharmaceutical science of microsphere construction allows many variations, it is not possible to determine the strengths and weaknesses of aripiprazole LAI compared with risperidone LAI microspheres at this time. The dosing intervals currently under investigation are 14 and 28 days.3

Iloperidone crystalline LAI is a phase II-III investigational drug. FDA registration documents and early publication and presentation data report that iloperidone LAI will be a crystalline salt structure pharmaceutically similar to paliperidone and olanzapine LAI formulations.4 The dosing interval under investigation is 28 days.

Up to one-half of patients with schizophrenia do not adhere to their medications.5 LAI use may mitigate relapse in acute schizophrenia that is caused by poor adherence to oral medications. LAIs may have a lower risk of dose-related adverse effects because of lower peak antipsychotic plasma levels and less variation between peak and trough plasma levels. LAIs may decrease the financial burden of schizophrenia and increase individual quality of life because patients spend fewer days hospitalized due to acute exacerbations.6

Some widely used schizophrenia treatment algorithms, such as the Harvard Schizophrenia Algorithm, neglect LAIs. Also, LAIs have not been well studied for maintenance treatment of bipolar disorder (BD) even though nonadherence is a substantial problem in these patients. Patients, families, and legal guardians may choose LAI antipsychotics over oral formulations to decrease the frequency and severity of psychotic relapse or for convenience because patients who receive LAIs do not need to take a medication every day.

Understanding the similarities and differences among LAIs7 and potential interpatient variability of each LAI allows prescribers to tailor the dosing regimen to the patient more safely and efficiently (Table).1,8-11 All LAI antipsychotic formulations rely on absorption pharmacokinetics (PK) rather than elimination PK, which generally is true for sustained-release oral formulations as well. Absorption half-life duration and absorption half-life variability are key concepts in LAI dosing.

Table

Characteristics of long-acting injectable antipsychotics

 

AntipsychoticOral elimination half-lifeFormulationAbsorption half-lifeTime between injectionsClinically relevant PK/PD variabilityaOral overlapping taper necessary?Loading dose possible?
Fluphenazine1 dayDecanoate in organic oil14 days7 to 21 days+++YesNo
Haloperidol1 dayDecanoate in organic oil21 days28 days+/-NoYes
Olanzapine1.5 daysPamoate crystalline30 days14 to 28 days++MaybeNo
Risperidone1 dayMicrospheres5 days14 days++YesNo
Paliperidone1 dayPalmitate crystalline45 days28 days+NoYes
aMore + indicates greater variability among patients
PD: pharmacodynamics; PK: pharmacokinetics
Source: References 1,8-11

Clinical pearls

Before prescribing an LAI, check that your patient has no known contraindications to the active drug or delivery method. Peak-related adverse effects typically are not contraindications, although they may prompt you to start at a lower dose.

Ensure that your patient will have long-term outpatient access to the LAI and the entire treatment team—inpatient and outpatient—is committed to LAI treatment.

 

Do not rule out first-generation LAIs such as haloperidol and fluphenazine. The Clinical Antipsychotic Trials of Intervention Effectiveness study, Cost Utility of the Latest Antipsychotic Drugs in Schizophrenia Study, and other published data suggest older antipsychotics are not inferior to newer medications.12,13

Verify that your patient has had an oral trial of the active drug—ideally in the last 12 months—that resulted in at least partial positive response and no serious adverse drug effects (ADEs). Oral medications’ shorter duration of action may help identify ADEs before administering an LAI.1

Discontinue the oral medication as quickly as evidence, guidance, and good clinical judgment allow. Develop a plan to transition from oral to LAI that you will follow unless the patient develops intolerable ADEs or other problems. There is no evidence to suggest that patients who receive partial LAI therapy decompensate less frequently or less severely than those who take oral medication.

 

 

If antipsychotic polypharmacy is necessary, document your rationale.

In patients who are naïve to a specific LAI dosage form, ensure that the first dose does not exceed FDA and evidence-based guidelines for the initial dose (eg, 100 mg intramuscular [IM] for haloperidol decanoate).1

Consider a loading dose strategy to minimize the time a patient has to take an oral and LAI antipsychotic combination.14

Ensure that the total volume injected intramuscularly is not >3 ml per injection site per dose.

Use the recommended injection technique for the particular LAI (eg, Z-tract).1,15

Individualize the dose and dosing interval based on patient response, peak-related adverse effects (time to peak is approximately 5 half-lives for most drugs), and possible reduced symptom control at the end of the dosing interval.8

If your patient does not respond as expected, taking an antipsychotic plasma level to assess drug metabolism and other PK factors and characteristics may be useful.

LAI options

Fluphenazine decanoate is an older, inexpensive LAI with considerable interpatient variability in absorption rate and peak effects, and a relatively short duration of action. Dosing every 7 days may be necessary to avoid peak plasma level adverse effects or symptom recurrence. Variable PK make it difficult to accurately calculate an empiric conversion dose from oral to LAI; therefore, start at the low end (eg, 1.2 to 1.6 times the total daily oral dose) or 12.5 or 25 mg for the initial IM fluphenazine decanoate dose. A short overlap period—usually 1 to 2 weeks—may be necessary. Successful subcutaneous administration is possible.2

Haloperidol decanoate. A 28-day dosing interval is effective for most patients. It is possible to administer a loading dose so that no overlapping taper is required. My team has had good results using an initial loading dose 15 to 20 times the effective oral dose and a second dose 28 days later of 10 times the oral daily maintenance dose, with the same dose every month thereafter. If a patient is receiving his or her first haloperidol decanoate injection, the initial dose should not exceed 100 mg. The remainder of the loading dose may be administered 3 to 7 days later if no adverse effects occur. Similar to fluphenazine decanoate, haloperidol decanoate is relatively inexpensive. When considering giving a haloperidol decanoate loading dose >400 mg or a maintenance dose >200 mg every 28 days, carefully document the rationale (eg, rapid metabolism).16

Olanzapine pamoate. Clinicians who administer olanzapine pamoate must enroll in a national registry that documents the incidence of rare but serious ADEs, particularly hypotension, orthostatis, and post-injection delirium/sedation syndrome (0.1% incidence) at every injection, not just for drug-naïve patients. Patients should be observed for 3 hours after every dose and oral medication overlap may be necessary in some cases.10 Similar to clozapine, these monitoring difficulties and the expense may have inhibited olanzapine LAI use, even in patients who are likely to benefit.

 

Risperidone microspheres. This agent has been evolutionary, if not revolutionary, in schizophrenia treatment and data on its efficacy for BD will be available soon. Its 2-week dosing interval, necessity of oral overlap, and anecdotal reports of “dose dumping” possibly because of fragility of the microsphere formulation suggest the need for an improved version, which was addressed by the introduction of paliperidone palmitate.10,17,18

Paliperidone palmitate has a 28-day dosing interval. No overlapping oral taper is necessary. Details of a week-long, 2-dose loading dose strategy is provided in the package insert.11 It may be safe to use a more aggressive loading dose strategy.15,19

 

Related Resources

 

  • Rothschild AJ. The evidence-based guide to antipsychotic medications. Arlington, VA: American Psychiatric Publishing, Inc.; 2010.
  • Cañas F, Möller HJ. Long-acting atypical injectable antipsychotics in the treatment of schizophrenia: safety and tolerability review. Expert Opin Drug Saf. 2010;9(5):683-697.

Drug Brand Names

 

  • Aripiprazole • Abilify
  • Fluphenazine deconoate • Prolixin Deconoate
  • Haloperidol deconoate • Haldol Deconoate
  • Iloperidone • Fanapt
  • Olanzapine pamoate • Zyprexa Relprevv
  • Paliperidone palmitate • Invega Sustenna
  • Risperidone • Risperdal Consta

Disclosures

Dr. Kennedy receives grant or research support from Janssen and Johnson and Johnson.

Discuss this article at www.facebook.com/CurrentPsychiatry

 

Practice Points

• Long-acting injectable antipsychotics (LAIs) are an important therapeutic option for patients with schizophrenia that allows clinicians to tailor pharmacotherapy to each patient’s needs.

• When selecting a specific LAI, consider class similarities and individual antipsychotic differences.

• Although some LAIs are expensive, they potentially reduce the financial burden of schizophrenia and improve quality of life.

Long-acting injectable antipsychotics (LAIs) are a pharmacotherapeutic option to help clinicians individualize schizophrenia treatment. LAIs have been available since the 1960s, starting with fluphenazine and later haloperidol; however, second-generation antipsychotics were not available in the United States until 20071,2 and more are in development (Box).3,4

Box

 

Long-acting injectable antipsychotics in development

Aripiprazole microsphere long-acting injectable (LAI) is a phase III investigational drug that at press time was being reviewed by the FDA. This formulation appears to be similar to risperidone LAI. The active antipsychotic differs in side effect profile and pharmacokinetics. Because the pharmaceutical science of microsphere construction allows many variations, it is not possible to determine the strengths and weaknesses of aripiprazole LAI compared with risperidone LAI microspheres at this time. The dosing intervals currently under investigation are 14 and 28 days.3

Iloperidone crystalline LAI is a phase II-III investigational drug. FDA registration documents and early publication and presentation data report that iloperidone LAI will be a crystalline salt structure pharmaceutically similar to paliperidone and olanzapine LAI formulations.4 The dosing interval under investigation is 28 days.

Up to one-half of patients with schizophrenia do not adhere to their medications.5 LAI use may mitigate relapse in acute schizophrenia that is caused by poor adherence to oral medications. LAIs may have a lower risk of dose-related adverse effects because of lower peak antipsychotic plasma levels and less variation between peak and trough plasma levels. LAIs may decrease the financial burden of schizophrenia and increase individual quality of life because patients spend fewer days hospitalized due to acute exacerbations.6

Some widely used schizophrenia treatment algorithms, such as the Harvard Schizophrenia Algorithm, neglect LAIs. Also, LAIs have not been well studied for maintenance treatment of bipolar disorder (BD) even though nonadherence is a substantial problem in these patients. Patients, families, and legal guardians may choose LAI antipsychotics over oral formulations to decrease the frequency and severity of psychotic relapse or for convenience because patients who receive LAIs do not need to take a medication every day.

Understanding the similarities and differences among LAIs7 and potential interpatient variability of each LAI allows prescribers to tailor the dosing regimen to the patient more safely and efficiently (Table).1,8-11 All LAI antipsychotic formulations rely on absorption pharmacokinetics (PK) rather than elimination PK, which generally is true for sustained-release oral formulations as well. Absorption half-life duration and absorption half-life variability are key concepts in LAI dosing.

Table

Characteristics of long-acting injectable antipsychotics

 

AntipsychoticOral elimination half-lifeFormulationAbsorption half-lifeTime between injectionsClinically relevant PK/PD variabilityaOral overlapping taper necessary?Loading dose possible?
Fluphenazine1 dayDecanoate in organic oil14 days7 to 21 days+++YesNo
Haloperidol1 dayDecanoate in organic oil21 days28 days+/-NoYes
Olanzapine1.5 daysPamoate crystalline30 days14 to 28 days++MaybeNo
Risperidone1 dayMicrospheres5 days14 days++YesNo
Paliperidone1 dayPalmitate crystalline45 days28 days+NoYes
aMore + indicates greater variability among patients
PD: pharmacodynamics; PK: pharmacokinetics
Source: References 1,8-11

Clinical pearls

Before prescribing an LAI, check that your patient has no known contraindications to the active drug or delivery method. Peak-related adverse effects typically are not contraindications, although they may prompt you to start at a lower dose.

Ensure that your patient will have long-term outpatient access to the LAI and the entire treatment team—inpatient and outpatient—is committed to LAI treatment.

 

Do not rule out first-generation LAIs such as haloperidol and fluphenazine. The Clinical Antipsychotic Trials of Intervention Effectiveness study, Cost Utility of the Latest Antipsychotic Drugs in Schizophrenia Study, and other published data suggest older antipsychotics are not inferior to newer medications.12,13

Verify that your patient has had an oral trial of the active drug—ideally in the last 12 months—that resulted in at least partial positive response and no serious adverse drug effects (ADEs). Oral medications’ shorter duration of action may help identify ADEs before administering an LAI.1

Discontinue the oral medication as quickly as evidence, guidance, and good clinical judgment allow. Develop a plan to transition from oral to LAI that you will follow unless the patient develops intolerable ADEs or other problems. There is no evidence to suggest that patients who receive partial LAI therapy decompensate less frequently or less severely than those who take oral medication.

 

 

If antipsychotic polypharmacy is necessary, document your rationale.

In patients who are naïve to a specific LAI dosage form, ensure that the first dose does not exceed FDA and evidence-based guidelines for the initial dose (eg, 100 mg intramuscular [IM] for haloperidol decanoate).1

Consider a loading dose strategy to minimize the time a patient has to take an oral and LAI antipsychotic combination.14

Ensure that the total volume injected intramuscularly is not >3 ml per injection site per dose.

Use the recommended injection technique for the particular LAI (eg, Z-tract).1,15

Individualize the dose and dosing interval based on patient response, peak-related adverse effects (time to peak is approximately 5 half-lives for most drugs), and possible reduced symptom control at the end of the dosing interval.8

If your patient does not respond as expected, taking an antipsychotic plasma level to assess drug metabolism and other PK factors and characteristics may be useful.

LAI options

Fluphenazine decanoate is an older, inexpensive LAI with considerable interpatient variability in absorption rate and peak effects, and a relatively short duration of action. Dosing every 7 days may be necessary to avoid peak plasma level adverse effects or symptom recurrence. Variable PK make it difficult to accurately calculate an empiric conversion dose from oral to LAI; therefore, start at the low end (eg, 1.2 to 1.6 times the total daily oral dose) or 12.5 or 25 mg for the initial IM fluphenazine decanoate dose. A short overlap period—usually 1 to 2 weeks—may be necessary. Successful subcutaneous administration is possible.2

Haloperidol decanoate. A 28-day dosing interval is effective for most patients. It is possible to administer a loading dose so that no overlapping taper is required. My team has had good results using an initial loading dose 15 to 20 times the effective oral dose and a second dose 28 days later of 10 times the oral daily maintenance dose, with the same dose every month thereafter. If a patient is receiving his or her first haloperidol decanoate injection, the initial dose should not exceed 100 mg. The remainder of the loading dose may be administered 3 to 7 days later if no adverse effects occur. Similar to fluphenazine decanoate, haloperidol decanoate is relatively inexpensive. When considering giving a haloperidol decanoate loading dose >400 mg or a maintenance dose >200 mg every 28 days, carefully document the rationale (eg, rapid metabolism).16

Olanzapine pamoate. Clinicians who administer olanzapine pamoate must enroll in a national registry that documents the incidence of rare but serious ADEs, particularly hypotension, orthostatis, and post-injection delirium/sedation syndrome (0.1% incidence) at every injection, not just for drug-naïve patients. Patients should be observed for 3 hours after every dose and oral medication overlap may be necessary in some cases.10 Similar to clozapine, these monitoring difficulties and the expense may have inhibited olanzapine LAI use, even in patients who are likely to benefit.

 

Risperidone microspheres. This agent has been evolutionary, if not revolutionary, in schizophrenia treatment and data on its efficacy for BD will be available soon. Its 2-week dosing interval, necessity of oral overlap, and anecdotal reports of “dose dumping” possibly because of fragility of the microsphere formulation suggest the need for an improved version, which was addressed by the introduction of paliperidone palmitate.10,17,18

Paliperidone palmitate has a 28-day dosing interval. No overlapping oral taper is necessary. Details of a week-long, 2-dose loading dose strategy is provided in the package insert.11 It may be safe to use a more aggressive loading dose strategy.15,19

 

Related Resources

 

  • Rothschild AJ. The evidence-based guide to antipsychotic medications. Arlington, VA: American Psychiatric Publishing, Inc.; 2010.
  • Cañas F, Möller HJ. Long-acting atypical injectable antipsychotics in the treatment of schizophrenia: safety and tolerability review. Expert Opin Drug Saf. 2010;9(5):683-697.

Drug Brand Names

 

  • Aripiprazole • Abilify
  • Fluphenazine deconoate • Prolixin Deconoate
  • Haloperidol deconoate • Haldol Deconoate
  • Iloperidone • Fanapt
  • Olanzapine pamoate • Zyprexa Relprevv
  • Paliperidone palmitate • Invega Sustenna
  • Risperidone • Risperdal Consta

Disclosures

Dr. Kennedy receives grant or research support from Janssen and Johnson and Johnson.

References

 

1. Haloperidol decanoate [package insert]. Irvine CA: Teva Parenteral Medicines, Inc; 2009.

2. Fluphenazine decanoate [package insert]. Schaumburg IL: APP Pharmaceuticals, LLC; 2010.

3. A study of ALKS 9072 in subjects with chronic stable schizophrenia. http://clinicaltrials.gov/ct2/show/NCT01493726. Published December 12 2011. Accessed December 16, 2011.

4. Hill CL, Phadke D, Boyce KM. Four-week iloperidone depot injectable: safety and pharmacokinetic profile in patients with schizophrenia and schizoaffective disorder. Poster presented at: 161st annual meeting of the American Psychiatric Association; May 3-8 2008; Washington, DC.

5. Lacro JP, Dunn LB, Dolder CR, et al. Prevalence of and risk factors for medication nonadherence in patients with schizophrenia: a comprehensive review of recent literature. J Clin Psychiatry. 2002;63(10):892-909.

6. Keith SJ, Kane JM, Turner M, et al. Academic highlights: guidelines for the use of long-acting injectable atypical antipsychotics. J Clin Psychiatry. 2004;65(1):120-131.

7. McEvoy JP. Risks versus benefits of different types of long-acting injectable antipsychotics. J Clin Psychiatry. 2006;67 (suppl 5):15-18.

8. Gitlin M, Midha KK, Fogelson D, et al. Persistence of fluphenazine in plasma after decanoate withdrawal. J Clin Psychopharmacol. 1988;8(1):53-56.

9. Wilson WH. A visual guide to expected blood levels of long-acting injectable risperidone in clinical practice. J Psychiatr Pract. 2004;10(6):393-401.

10. Zyprexa Relprevv [package insert]. Indianapolis IN: Eli Lilly and Company; 2011.

11. Invega Sustenna [package insert]. Titusville NJ: Janssen, Division of Ortho-McNeil-Janssen Pharmaceuticals, Inc; 2011.

12. Lieberman JA, Stroup TS, McEvoy JP, et al. Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) Investigators. Effectiveness of antipsychotic drugs in patients with chronic schizophrenia. N Engl J Med. 2005;353(12):1209-1223.

13. Jones PB, Barnes TR, Davies L, et al. Randomized controlled trial of effect on quality of life of second- vs first-generation antipsychotic drugs in schizophrenia. Cost Utility of the Latest Antipsychotic Drugs in Schizophrenia Study (CUtLASS 1). Arch Gen Psychiatry. 2006;63(10):1079-1087.

14. Wei FC, Jann MW, Lin HN, et al. A practical loading dose method for converting schizophrenic patients from oral to depot haloperidol therapy. J Clin Psychiatry. 1996;57(7):298-302.

15. Samtani MN, Vermeulen A, Stuyckens K. Population pharmacokinetics of intramuscular paliperidone palmitate in patients with schizophrenia. Clin Pharmacokinetics. 2009;48(9):585-600.

16. Kapur SJ, Zipursky R, Jones C, et al. Relationship between dopamine D2 occupancy, clinical response and side effects: a double-blind PET study of first-episode schizophrenia. Am J Psychiatry. 2000;157(4):514-520.

17. Deeks ED. Risperidone long-acting injection: in bipolar I disorder. Drugs. 2010;70(8):1001-1012.

18. Risperdal Consta [package insert]. Titusville NJ: Janssen, Division of Ortho-McNeil-Janssen Pharmaceuticals, Inc; 2011.

19. Samtani MN, Haskins JT, Alphs L, et al. Initiation dosing of deltoid intramuscular paliperidone palmitate in schizophrenia – pharmacokinetic rationale based on modeling and simulation. Poster presented at: 49th annual NCDEU meeting; June 29-July 2, 2009; Hollywood, FL.

References

 

1. Haloperidol decanoate [package insert]. Irvine CA: Teva Parenteral Medicines, Inc; 2009.

2. Fluphenazine decanoate [package insert]. Schaumburg IL: APP Pharmaceuticals, LLC; 2010.

3. A study of ALKS 9072 in subjects with chronic stable schizophrenia. http://clinicaltrials.gov/ct2/show/NCT01493726. Published December 12 2011. Accessed December 16, 2011.

4. Hill CL, Phadke D, Boyce KM. Four-week iloperidone depot injectable: safety and pharmacokinetic profile in patients with schizophrenia and schizoaffective disorder. Poster presented at: 161st annual meeting of the American Psychiatric Association; May 3-8 2008; Washington, DC.

5. Lacro JP, Dunn LB, Dolder CR, et al. Prevalence of and risk factors for medication nonadherence in patients with schizophrenia: a comprehensive review of recent literature. J Clin Psychiatry. 2002;63(10):892-909.

6. Keith SJ, Kane JM, Turner M, et al. Academic highlights: guidelines for the use of long-acting injectable atypical antipsychotics. J Clin Psychiatry. 2004;65(1):120-131.

7. McEvoy JP. Risks versus benefits of different types of long-acting injectable antipsychotics. J Clin Psychiatry. 2006;67 (suppl 5):15-18.

8. Gitlin M, Midha KK, Fogelson D, et al. Persistence of fluphenazine in plasma after decanoate withdrawal. J Clin Psychopharmacol. 1988;8(1):53-56.

9. Wilson WH. A visual guide to expected blood levels of long-acting injectable risperidone in clinical practice. J Psychiatr Pract. 2004;10(6):393-401.

10. Zyprexa Relprevv [package insert]. Indianapolis IN: Eli Lilly and Company; 2011.

11. Invega Sustenna [package insert]. Titusville NJ: Janssen, Division of Ortho-McNeil-Janssen Pharmaceuticals, Inc; 2011.

12. Lieberman JA, Stroup TS, McEvoy JP, et al. Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) Investigators. Effectiveness of antipsychotic drugs in patients with chronic schizophrenia. N Engl J Med. 2005;353(12):1209-1223.

13. Jones PB, Barnes TR, Davies L, et al. Randomized controlled trial of effect on quality of life of second- vs first-generation antipsychotic drugs in schizophrenia. Cost Utility of the Latest Antipsychotic Drugs in Schizophrenia Study (CUtLASS 1). Arch Gen Psychiatry. 2006;63(10):1079-1087.

14. Wei FC, Jann MW, Lin HN, et al. A practical loading dose method for converting schizophrenic patients from oral to depot haloperidol therapy. J Clin Psychiatry. 1996;57(7):298-302.

15. Samtani MN, Vermeulen A, Stuyckens K. Population pharmacokinetics of intramuscular paliperidone palmitate in patients with schizophrenia. Clin Pharmacokinetics. 2009;48(9):585-600.

16. Kapur SJ, Zipursky R, Jones C, et al. Relationship between dopamine D2 occupancy, clinical response and side effects: a double-blind PET study of first-episode schizophrenia. Am J Psychiatry. 2000;157(4):514-520.

17. Deeks ED. Risperidone long-acting injection: in bipolar I disorder. Drugs. 2010;70(8):1001-1012.

18. Risperdal Consta [package insert]. Titusville NJ: Janssen, Division of Ortho-McNeil-Janssen Pharmaceuticals, Inc; 2011.

19. Samtani MN, Haskins JT, Alphs L, et al. Initiation dosing of deltoid intramuscular paliperidone palmitate in schizophrenia – pharmacokinetic rationale based on modeling and simulation. Poster presented at: 49th annual NCDEU meeting; June 29-July 2, 2009; Hollywood, FL.

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When to treat subthreshold hypomanic episodes

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According to DSM-IV-TR, the minimal duration of a hypomanic episode is 4 days.1 Should we treat patients for hypomanic symptoms that last <4 days? Could antidepressants’ high failure rate2 be because many depressed patients have untreated “subthreshold hypomanic episodes”? Aripiprazole, quetiapine, and lithium all have been shown to alleviate depression when added to an antidepressant.3-5 Is it possible that these medications are treating subthreshold hypomanic episodes rather than depression?

The literature does not answer these questions. To further confuse matters, a subthreshold hypomanic episode may not be a discrete episode. In such episodes, hypomanic symptoms may overlap at some point and the duration of each symptom may vary.

When I administer the Mood Disorder Questionnaire,6,7 I ask patients about 13 hypomanic symptoms. Patient responses to questions about 7 of these symptoms—increased energy, irritability, talking, and activity, feeling “hyper,” racing thoughts, and decreased need for sleep—can help demonstrate the variability of symptom duration. For example, a patient may complain of increased energy and irritability for 3 days, increased activity and feeling “hyper” for 2 days, increased talking and a decreased need to sleep for 1 day, and racing thoughts every day.

Alternative criteria

Considering this variation, I often use the following criteria when considering whether to treat subthreshold hypomanic symptoms:

  • ≥4 symptoms must last ≥2 consecutive days
  • ≥3 symptoms must overlap at some point, and
  • ≥2 of the symptoms must be increased energy, increased activity, or racing thoughts.

However, some patients have hypomanic symptoms that do not meet these relaxed criteria but require treatment.8 I also need to know when these episodes started, how frequently they occur, and how much of a problem they cause in the patient’s life. I often treat subthreshold hypomanic episodes with an antipsychotic or a mood stabilizer. As with all patients I see, I consider the patient’s reliability, substance abuse history, and mental status during the interview.

References

 

1. Diagnostic and statistical manual of mental disorders, 4th ed, text rev. Washington DC: American Psychiatric Association; 2000.

2. Pigott HE, Leventhal AM, Alter GS, et al. Efficacy and effectiveness of antidepressants: current status of research. Psychother Psychosom. 2010;79(5):267-279.

3. Nelson JC, Pikalov A, Berman RM. Augmentation treatment in major depressive disorder: focus on aripiprazole. Neuropsychiatr Dis Treat. 2008;4(5):937-948.

4. Daly EJ, Trivedi MH. A review of quetiapine in combination with antidepressant therapy in patients with depression. Neuropsychiatr Dis Treat. 2007;3(6):855-867.

5. Price LH, Carpenter LL, Tyrka AR. Lithium augmentation for refractory depression: a critical reappraisal. Prim Psychiatry. 2008;15(11):35-42.

6. Hirschfeld RM, Williams JB, Spitzer RL, et al. Development and validation of a screening instrument for bipolar spectrum disorder: the Mood Disorder Questionnaire. Am J Psychiatry. 2000;157(11):1873-1875.

7. The Mood Disorder Questionnaire. http://www.drpaddison.com/mood.pdf. Accessed June 20 2012.

8. Angst J, Azorin JM, Bowden CL, et al. Prevalence and characteristics of undiagnosed bipolar disorders in patients with a major depressive episode: the BRIDGE study. Arch Gen Psychiatry. 2011;68(8):791-798.

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According to DSM-IV-TR, the minimal duration of a hypomanic episode is 4 days.1 Should we treat patients for hypomanic symptoms that last <4 days? Could antidepressants’ high failure rate2 be because many depressed patients have untreated “subthreshold hypomanic episodes”? Aripiprazole, quetiapine, and lithium all have been shown to alleviate depression when added to an antidepressant.3-5 Is it possible that these medications are treating subthreshold hypomanic episodes rather than depression?

The literature does not answer these questions. To further confuse matters, a subthreshold hypomanic episode may not be a discrete episode. In such episodes, hypomanic symptoms may overlap at some point and the duration of each symptom may vary.

When I administer the Mood Disorder Questionnaire,6,7 I ask patients about 13 hypomanic symptoms. Patient responses to questions about 7 of these symptoms—increased energy, irritability, talking, and activity, feeling “hyper,” racing thoughts, and decreased need for sleep—can help demonstrate the variability of symptom duration. For example, a patient may complain of increased energy and irritability for 3 days, increased activity and feeling “hyper” for 2 days, increased talking and a decreased need to sleep for 1 day, and racing thoughts every day.

Alternative criteria

Considering this variation, I often use the following criteria when considering whether to treat subthreshold hypomanic symptoms:

  • ≥4 symptoms must last ≥2 consecutive days
  • ≥3 symptoms must overlap at some point, and
  • ≥2 of the symptoms must be increased energy, increased activity, or racing thoughts.

However, some patients have hypomanic symptoms that do not meet these relaxed criteria but require treatment.8 I also need to know when these episodes started, how frequently they occur, and how much of a problem they cause in the patient’s life. I often treat subthreshold hypomanic episodes with an antipsychotic or a mood stabilizer. As with all patients I see, I consider the patient’s reliability, substance abuse history, and mental status during the interview.

According to DSM-IV-TR, the minimal duration of a hypomanic episode is 4 days.1 Should we treat patients for hypomanic symptoms that last <4 days? Could antidepressants’ high failure rate2 be because many depressed patients have untreated “subthreshold hypomanic episodes”? Aripiprazole, quetiapine, and lithium all have been shown to alleviate depression when added to an antidepressant.3-5 Is it possible that these medications are treating subthreshold hypomanic episodes rather than depression?

The literature does not answer these questions. To further confuse matters, a subthreshold hypomanic episode may not be a discrete episode. In such episodes, hypomanic symptoms may overlap at some point and the duration of each symptom may vary.

When I administer the Mood Disorder Questionnaire,6,7 I ask patients about 13 hypomanic symptoms. Patient responses to questions about 7 of these symptoms—increased energy, irritability, talking, and activity, feeling “hyper,” racing thoughts, and decreased need for sleep—can help demonstrate the variability of symptom duration. For example, a patient may complain of increased energy and irritability for 3 days, increased activity and feeling “hyper” for 2 days, increased talking and a decreased need to sleep for 1 day, and racing thoughts every day.

Alternative criteria

Considering this variation, I often use the following criteria when considering whether to treat subthreshold hypomanic symptoms:

  • ≥4 symptoms must last ≥2 consecutive days
  • ≥3 symptoms must overlap at some point, and
  • ≥2 of the symptoms must be increased energy, increased activity, or racing thoughts.

However, some patients have hypomanic symptoms that do not meet these relaxed criteria but require treatment.8 I also need to know when these episodes started, how frequently they occur, and how much of a problem they cause in the patient’s life. I often treat subthreshold hypomanic episodes with an antipsychotic or a mood stabilizer. As with all patients I see, I consider the patient’s reliability, substance abuse history, and mental status during the interview.

References

 

1. Diagnostic and statistical manual of mental disorders, 4th ed, text rev. Washington DC: American Psychiatric Association; 2000.

2. Pigott HE, Leventhal AM, Alter GS, et al. Efficacy and effectiveness of antidepressants: current status of research. Psychother Psychosom. 2010;79(5):267-279.

3. Nelson JC, Pikalov A, Berman RM. Augmentation treatment in major depressive disorder: focus on aripiprazole. Neuropsychiatr Dis Treat. 2008;4(5):937-948.

4. Daly EJ, Trivedi MH. A review of quetiapine in combination with antidepressant therapy in patients with depression. Neuropsychiatr Dis Treat. 2007;3(6):855-867.

5. Price LH, Carpenter LL, Tyrka AR. Lithium augmentation for refractory depression: a critical reappraisal. Prim Psychiatry. 2008;15(11):35-42.

6. Hirschfeld RM, Williams JB, Spitzer RL, et al. Development and validation of a screening instrument for bipolar spectrum disorder: the Mood Disorder Questionnaire. Am J Psychiatry. 2000;157(11):1873-1875.

7. The Mood Disorder Questionnaire. http://www.drpaddison.com/mood.pdf. Accessed June 20 2012.

8. Angst J, Azorin JM, Bowden CL, et al. Prevalence and characteristics of undiagnosed bipolar disorders in patients with a major depressive episode: the BRIDGE study. Arch Gen Psychiatry. 2011;68(8):791-798.

References

 

1. Diagnostic and statistical manual of mental disorders, 4th ed, text rev. Washington DC: American Psychiatric Association; 2000.

2. Pigott HE, Leventhal AM, Alter GS, et al. Efficacy and effectiveness of antidepressants: current status of research. Psychother Psychosom. 2010;79(5):267-279.

3. Nelson JC, Pikalov A, Berman RM. Augmentation treatment in major depressive disorder: focus on aripiprazole. Neuropsychiatr Dis Treat. 2008;4(5):937-948.

4. Daly EJ, Trivedi MH. A review of quetiapine in combination with antidepressant therapy in patients with depression. Neuropsychiatr Dis Treat. 2007;3(6):855-867.

5. Price LH, Carpenter LL, Tyrka AR. Lithium augmentation for refractory depression: a critical reappraisal. Prim Psychiatry. 2008;15(11):35-42.

6. Hirschfeld RM, Williams JB, Spitzer RL, et al. Development and validation of a screening instrument for bipolar spectrum disorder: the Mood Disorder Questionnaire. Am J Psychiatry. 2000;157(11):1873-1875.

7. The Mood Disorder Questionnaire. http://www.drpaddison.com/mood.pdf. Accessed June 20 2012.

8. Angst J, Azorin JM, Bowden CL, et al. Prevalence and characteristics of undiagnosed bipolar disorders in patients with a major depressive episode: the BRIDGE study. Arch Gen Psychiatry. 2011;68(8):791-798.

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Distinguishing between adult ADHD and mild cognitive impairment

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There is considerable overlap between symptoms of adult attention-deficit/hyperactivity disorder (ADHD) and mild cognitive impairment (MCI), including problems with sustained attention or concentration, anterograde memory, and executive functioning. Differentiating these clinical syndromes based on symptomatic presentation alone can be difficult, but considering the following factors can help you make a more informed diagnosis:

Neurodevelopmental disorder history. DSM-IV-TR stipulates onset for some ADHD symptoms by age 7, although a DSM-5 Work Group is considering symptom onset as late as age 12.1 Initial onset or a dramatic worsening of longstanding ADHD symptoms in middle-age or older adults is atypical for this neurodevelopmental disorder.

Detailed self-diagnosed symptoms. Patients with ADHD usually can give a satisfactory history of their symptoms. Patients with MCI often are less able to provide a useful history because they have prominent difficulties with anterograde memory, which may be associated with emerging anosognosia.

Educational learning difficulties. Patients with ADHD frequently have comorbid learning difficulties and substance abuse disorders, which are uncommon in MCI.

Rating scales. When in doubt, use rating scales to assess for ADHD.2 Ask your patient to complete the rating scale based on how he or she remembers behaving in elementary through middle school, most of their adult life after age 20, and since symptom onset. Obtain collateral ratings from a reliable informant based on his or her knowledge of the patient’s long-term behavioral functioning.

Worsening symptoms. The typical ADHD patient will have a “positive” screen for symptoms, but will report fewer and less severe symptoms from childhood or adolescence through young adulthood and into middle and older age. Suspect MCI when your patient or an informant reports a clear worsening of symptoms in recent months or years despite a lack of evidence of a significant intervening psychiatric disorder.

Psychopharmacotherapy. Patients with MCI usually do not benefit from medications for ADHD. Patients with ADHD often report improvement in at least some of their symptoms with psychopharmacologic treatment.

When your patient’s history, rating scale assessment, and medication trials do not allow you to make a confident differential diagnosis, consider referring him or her for psychological or neuropsychological testing.

There can be overlap in psychometric test findings of middle-age and older adults with a history of ADHD and those who may have MCI. Still, MCI patients’ cognitive difficulties usually are more concerning and dramatic, including problems with spontaneous recall as well as “recognition memory.”

When findings from psychometric testing are equivocal because of possible co-occurrence, retesting in 12 to 18 months usually will help you make a reliable differential diagnosis. Specifically, progression of cognitive dysfunction—including evidence of worsening anterograde memory—is common in MCI but not in ADHD.

Current symptoms of major depressive disorder may further “muddy the waters.” However, parameters such as response to adequate medication trials, progression of cognitive dysfunction, and worsening of test-based cognitive or neuropsychological deficits over time can be useful in reaching a satisfactory differential diagnosis.

Disclosure

Dr. Pollak reports no financial relationship with any company whose products are mentioned in this article or with manufacturers of competing products.

References

1. American Psychiatric Association. DSM-5 development. A 06 Attention Deficit/Hyperactivity Disorder. http://dsm5.org/proposedrevision/pages/proposedrevision.aspx?rid=383. Accessed March 22, 2012.

2. Barkley RA. Barkley Adult ADHD Rating Scale-IV. New York, NY: Guilford Press; 2011.

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There is considerable overlap between symptoms of adult attention-deficit/hyperactivity disorder (ADHD) and mild cognitive impairment (MCI), including problems with sustained attention or concentration, anterograde memory, and executive functioning. Differentiating these clinical syndromes based on symptomatic presentation alone can be difficult, but considering the following factors can help you make a more informed diagnosis:

Neurodevelopmental disorder history. DSM-IV-TR stipulates onset for some ADHD symptoms by age 7, although a DSM-5 Work Group is considering symptom onset as late as age 12.1 Initial onset or a dramatic worsening of longstanding ADHD symptoms in middle-age or older adults is atypical for this neurodevelopmental disorder.

Detailed self-diagnosed symptoms. Patients with ADHD usually can give a satisfactory history of their symptoms. Patients with MCI often are less able to provide a useful history because they have prominent difficulties with anterograde memory, which may be associated with emerging anosognosia.

Educational learning difficulties. Patients with ADHD frequently have comorbid learning difficulties and substance abuse disorders, which are uncommon in MCI.

Rating scales. When in doubt, use rating scales to assess for ADHD.2 Ask your patient to complete the rating scale based on how he or she remembers behaving in elementary through middle school, most of their adult life after age 20, and since symptom onset. Obtain collateral ratings from a reliable informant based on his or her knowledge of the patient’s long-term behavioral functioning.

Worsening symptoms. The typical ADHD patient will have a “positive” screen for symptoms, but will report fewer and less severe symptoms from childhood or adolescence through young adulthood and into middle and older age. Suspect MCI when your patient or an informant reports a clear worsening of symptoms in recent months or years despite a lack of evidence of a significant intervening psychiatric disorder.

Psychopharmacotherapy. Patients with MCI usually do not benefit from medications for ADHD. Patients with ADHD often report improvement in at least some of their symptoms with psychopharmacologic treatment.

When your patient’s history, rating scale assessment, and medication trials do not allow you to make a confident differential diagnosis, consider referring him or her for psychological or neuropsychological testing.

There can be overlap in psychometric test findings of middle-age and older adults with a history of ADHD and those who may have MCI. Still, MCI patients’ cognitive difficulties usually are more concerning and dramatic, including problems with spontaneous recall as well as “recognition memory.”

When findings from psychometric testing are equivocal because of possible co-occurrence, retesting in 12 to 18 months usually will help you make a reliable differential diagnosis. Specifically, progression of cognitive dysfunction—including evidence of worsening anterograde memory—is common in MCI but not in ADHD.

Current symptoms of major depressive disorder may further “muddy the waters.” However, parameters such as response to adequate medication trials, progression of cognitive dysfunction, and worsening of test-based cognitive or neuropsychological deficits over time can be useful in reaching a satisfactory differential diagnosis.

Disclosure

Dr. Pollak reports no financial relationship with any company whose products are mentioned in this article or with manufacturers of competing products.

There is considerable overlap between symptoms of adult attention-deficit/hyperactivity disorder (ADHD) and mild cognitive impairment (MCI), including problems with sustained attention or concentration, anterograde memory, and executive functioning. Differentiating these clinical syndromes based on symptomatic presentation alone can be difficult, but considering the following factors can help you make a more informed diagnosis:

Neurodevelopmental disorder history. DSM-IV-TR stipulates onset for some ADHD symptoms by age 7, although a DSM-5 Work Group is considering symptom onset as late as age 12.1 Initial onset or a dramatic worsening of longstanding ADHD symptoms in middle-age or older adults is atypical for this neurodevelopmental disorder.

Detailed self-diagnosed symptoms. Patients with ADHD usually can give a satisfactory history of their symptoms. Patients with MCI often are less able to provide a useful history because they have prominent difficulties with anterograde memory, which may be associated with emerging anosognosia.

Educational learning difficulties. Patients with ADHD frequently have comorbid learning difficulties and substance abuse disorders, which are uncommon in MCI.

Rating scales. When in doubt, use rating scales to assess for ADHD.2 Ask your patient to complete the rating scale based on how he or she remembers behaving in elementary through middle school, most of their adult life after age 20, and since symptom onset. Obtain collateral ratings from a reliable informant based on his or her knowledge of the patient’s long-term behavioral functioning.

Worsening symptoms. The typical ADHD patient will have a “positive” screen for symptoms, but will report fewer and less severe symptoms from childhood or adolescence through young adulthood and into middle and older age. Suspect MCI when your patient or an informant reports a clear worsening of symptoms in recent months or years despite a lack of evidence of a significant intervening psychiatric disorder.

Psychopharmacotherapy. Patients with MCI usually do not benefit from medications for ADHD. Patients with ADHD often report improvement in at least some of their symptoms with psychopharmacologic treatment.

When your patient’s history, rating scale assessment, and medication trials do not allow you to make a confident differential diagnosis, consider referring him or her for psychological or neuropsychological testing.

There can be overlap in psychometric test findings of middle-age and older adults with a history of ADHD and those who may have MCI. Still, MCI patients’ cognitive difficulties usually are more concerning and dramatic, including problems with spontaneous recall as well as “recognition memory.”

When findings from psychometric testing are equivocal because of possible co-occurrence, retesting in 12 to 18 months usually will help you make a reliable differential diagnosis. Specifically, progression of cognitive dysfunction—including evidence of worsening anterograde memory—is common in MCI but not in ADHD.

Current symptoms of major depressive disorder may further “muddy the waters.” However, parameters such as response to adequate medication trials, progression of cognitive dysfunction, and worsening of test-based cognitive or neuropsychological deficits over time can be useful in reaching a satisfactory differential diagnosis.

Disclosure

Dr. Pollak reports no financial relationship with any company whose products are mentioned in this article or with manufacturers of competing products.

References

1. American Psychiatric Association. DSM-5 development. A 06 Attention Deficit/Hyperactivity Disorder. http://dsm5.org/proposedrevision/pages/proposedrevision.aspx?rid=383. Accessed March 22, 2012.

2. Barkley RA. Barkley Adult ADHD Rating Scale-IV. New York, NY: Guilford Press; 2011.

References

1. American Psychiatric Association. DSM-5 development. A 06 Attention Deficit/Hyperactivity Disorder. http://dsm5.org/proposedrevision/pages/proposedrevision.aspx?rid=383. Accessed March 22, 2012.

2. Barkley RA. Barkley Adult ADHD Rating Scale-IV. New York, NY: Guilford Press; 2011.

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Prescription opioid use disorder: A complex clinical challenge

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You’ve been treating Mr. H, a 54-year-old factory worker and tobacco user, for depression that developed after a work-related back injury and subsequent disability. His depression has had a fair response to an antidepressant. He also has been maintained on chronic opioids (morphine and oxycodone/acetaminophen) for 18 months by his primary care physician (PCP). At the end of your appointment, he asks you for a refill of the opioids because he “ran out” early because of increased night pain and resultant insomnia and “stress.” He clarifies he has asked for early refills before from his PCP, but lately he has been denied. Because you “seem to listen to me more,” he asks for your help. How should you manage Mr. H?

Opioids are among the most commonly misused prescription drugs in the United States.1 In 2008, poisoning was the leading cause of death from injury in the United States; roughly 90% of poisonings resulted from drug exposure, and >40% of these drug poisonings were from prescription opioids.2 The Centers for Disease Control and Prevention estimates that the number of emergency department (ED) visits for nonmedical use of opioids increased 111% between 2004 and 2008, from 144,600 to 305,900 visits.3 The highest number of visits were for use of oxycodone, hydrocodone, and methadone.3

Increased prescribing of opioids and overdose deaths attributable to prescribed opioids have raised concern among physicians about how to effectively treat pain as well as prevent, recognize, and manage aberrant medication-taking behaviors (AMTBs). Psychiatrists are well-positioned to screen and manage their own patients for prescription opioid use disorder (POUD) or collaborate with opioid prescribers to accomplish the same.

Clarifying terminology

Terminology used to describe POUD and related conditions often is poorly defined or loosely applied. Because emotions often enter discussions between patients and physicians about problems related to opioid therapy, nonstigmatizing and more objective terminology is needed, and clinicians are working toward standardizing this. Relevant terms are defined in Table 1.4

The DSM-5 Substance Use Disorders Work Group has proposed using the term opioid use disorder (OUD) to replace the term opioid dependence.5 The hope is that removing the word “dependence” from the diagnostic term will reduce confusion between “dependence” due to expected physical dependence (tolerance, withdrawal) on medically prescribed opioids vs true addiction (currently defined as “opioid dependence” in DSM-IV-TR). This Work Group also has proposed combining opioid abuse and opioid dependence criteria into a single diagnosis of OUD, and adding “craving” to the criteria. For the complete proposed criteria, see www.dsm5.org/ProposedRevisions/Pages/proposedrevision.aspx?rid=460.These changes are still under review. In this article, we use the term POUD.

Table 1

Terminology related to prescription opioid use disorder

 

TermDefinition
Chronic painaPain that extends beyond the expected period for healing (6 months), initiated by tissue damage, but perpetrated by the interaction of physiologic, affective, and environmental factors
Chronic nonmalignant painaChronic pain associated with diverse diagnoses and syndromes that are not terminal but affect the patient’s function
Appropriate useaTaking a prescription as prescribed, and only for the condition indicated
MisuseaTaking a prescription for a reason or at a dose or frequency other than for which it was prescribed; this may or may not reflect POUD
Drug-seeking behaviorsPatient behaviors directed toward obtaining controlled substances, driven not by amelioration of the condition for which the medication was indicated but rather by other maladaptive gains; this may or may not reflect POUD
Chemical copingTaking a controlled substance medication to relieve psychological problems (eg, to relieve low mood, anxiety, insomnia) and for reasons other than the purpose for which it was prescribed; this may or may not reflect POUD
Aberrant medication-taking behaviorsaTaking a controlled substance medication in a manner that is not prescribed; causes for this may include:
  • lack of understanding about how to take the opioid appropriately
  • external pressures, such as to give to another person for his or her pain
  • chemical coping
  • pseudoaddiction (see below), including:
  • addiction or substance use disorder (such as POUD)
  • diversion
PseudoaddictionAn iatrogenic syndrome of “addiction-like” behaviors in which the patient seeks opioids to relieve pain—such as seeking different doctors, self-adjusting the opioid dose, early refills of opioids, etc.—rather than to achieve pleasure or other nonpain-related effect. At times mistaken for true addiction, these behaviors tend to resolve and function improves once analgesia is better addressed
a These terms and definitions are adapted from reference 4. The remaining terms and definitions were developed by the authors
POUD: prescription opioid use disorder

POUD and chronic pain

The incidence of POUD during opioid therapy for pain is unknown.6 Some researchers have suggested it may be as low as 0.2%,7 while others estimate that rates of POUD in patients with chronic pain may be similar to those in the general population: 3% to 16%.8 When applying the proposed DSM-5 criteria to patients receiving long-term opioid therapy for noncancer pain, the lifetime prevalence of POUD may be as high as 35%.9

 

 

 

Prescribers may be contributing to POUD. Roughly 76% of opioids used for nonmedical purposes were prescribed to someone else, 20% were prescribed to the user, and 4% came from other sources.1 Strategies to reduce POUD risk may be underused. In a retrospective cohort study of 1,612 patient electronic medical records from 8 primary care clinics that managed patients with long-term opioids for chronic noncancer pain (average prescribing duration of 2 years duration, ≥3 monthly prescriptions in 6 months), researchers evaluated how often prescribers used 3 risk reduction practices:

 

  • urine drug tests
  • regular office visits (≥1 every 6 months and within 30 days of changing opioid treatment)
  • restricted early refills (≤1 opioid refill more than a week early).10

Risk factors for opioid misuse included age 1 early refill. Researchers found that even for high-risk patients, these strategies were used infrequently. Less than one-quarter of patients with ≥3 risk factors ever had a drug test, and those at increased risk were more likely to receive >1 early refill but no more likely to have more frequent visits. Issues such as patient entitlement, lack of physician education, and time constraints may explain why these strategies are not used more often.11

No one procedure or set of variables is sufficient to identify chronic pain patients who may be at risk for POUD. However, a history of drug or alcohol use disorders may be a significant risk factor.12,13

 

Few tools have been developed to help identify those at risk of AMTBs or POUD, and all have limitations.4,14 Recommended self-report measures include the Current Opioid Misuse Measure and the Opioid Risk Tool.15 A review of studies in which these kinds of tools were developed revealed limited evidence for their use; most studies had methodological shortcomings, did not use standardized AMTB criteria, and provided little assessment of whether these tools changed clinician behaviors or improved patient outcomes.16

Evaluating AMTBs

Although diagnosing POUD in pain patients receiving chronic opioids can be challenging, assessing for AMTBs typically is helpful. Once AMTBs are identified, they can be examined to determine what drives their expression (Table 14 and Table 217). However, often it is easier to identify AMTBs than to interpret their origins; as much as 30% to 50% of patients who complain of chronic pain may have primary substance dependence to sedatives, opioids, or both.11

Table 2

Aberrant medication-taking behaviors and POUD risk

 

Behaviors more suggestive of POUD
  Deterioration in function (work, social)
  Illegal activities (selling medication, forging prescriptions, buying from non-medical sources)
  Altering the route of administration (snorting, injecting)
  Multiple episodes of ‘lost’ or ‘stolen’ prescriptions
  Resistance to change therapy despite negative outcomes
  Refusal to comply with toxicology testing
  Concurrent, active abuse of alcohol, illegal drugs
  Use of multiple physicians or pharmacies to obtain the prescription
Behaviors less suggestive of POUD
  Complaints for more medication
  Medication hoarding
  Requesting specific pain medications
  Openly acquiring similar medications from other providers
  Occasional unsanctioned dose escalation
  Nonadherence to other recommendations for pain therapy
POUD: prescription opioid use disorder
Source: Reference 17

Although AMTBs are common among chronic nonmalignant pain patients,18,19 how often AMTBs reflect underlying POUD is uncertain.7 It is critical to interpret AMTBs with a balance of caution and care: “react therapeutically, not punitively.”20 Categorizing a patient’s AMTB as more or less likely to support a POUD diagnosis can be helpful, but is not conclusive (Table 2).17 Clinical correlation often is required. No single AMTB alone is indicative of POUD. When evaluating AMTBs, the treating provider should use a nonjudgmental stance, and consider obtaining collateral data from people who can provide differing perspectives of the patient’s behaviors, such as other clinicians, significant others, family, etc. (a release of information from the patient may be required). Another source of collateral data is prescription monitoring databases. These databases typically are state-based and provide electronic access to prescription information, allowing you to search for patterns—ie, use of multiple prescribers or pharmacies, undisclosed prescriptions, etc. Interest in establishing a single, federal database has been increasing, but striking a balance between carefully monitoring for AMTBs and protecting privacy remains unresolved.

 

DSM-IV-TR diagnostic criteria for opioid dependence21 can be challenging to interpret in patients who are prescribed opioids for pain (Table 3

 

 

).6 To clarify interpretation, the Liaison Committee on Pain and Addiction of the American Society of Addiction Medicine (ASAM) has provided an outline of possible indicators of addiction in pain patients (Table 4).6 This was a consensus statement from the American Pain Society, the American Academy of Pain Medicine, and ASAM.

Assessment is primarily clinical and requires an awareness of appropriate terminology, an index of clinical suspicion, and expertise teasing apart pain, addiction, and pseudoaddiction. In our experience, it is helpful to ask a chronic pain patient whom you suspect might have POUD, “Have you ever used your prescribed opioids for reasons other than improving function or reducing pain, such as for getting a ‘high,’ managing stress, escaping from problems, etc.?” An affirmative response suggests an underlying problem with use of prescribed opioids, indicating a need for more careful questioning to determine if AMTBs or POUD coexist with chronic pain.

Drug testing can help determine if a patient is taking opioids that are not prescribed—as well as illicit drugs or alcohol—and confirm the presence of those that are prescribed. Toxicology screening should include opioids typically screened for (eg, morphine, codeine, heroin) and those for which additional tests may be required (eg, semi-synthetics such as oxycodone and hydrocodone and synthetics such as fentanyl).

Table 3

Identifying addiction in pain patients: Limitations of DSM-IV-TR

 

DSM-IV-TR substance dependence criteriaChallenges in using criterion to diagnose prescription opioid use disorder
ToleranceExpected with prolonged opioid compliance
Physical dependence, withdrawalExpected with prolonged opioid compliance
Use of larger amounts or longer than initially intendedEmergence of pain may demand increased dose or prolonged use
Multiple failed attempts to cut down or controlEmergence of pain may deter dose reduction or cessation
Time spent finding, using, or recoveringDifficulty finding adequate pain treatment may increase time spent pursuing analgesics. However, time spent recovering from overuse may suggest addiction
Given up or reduced important activitiesValid criteria—engaging in activities is expected to increase, not decline, with effective pain treatment
Continued use despite knowledge of negative consequencesValid criteria—no harm is anticipated from analgesic opioid use for pain (see Table 4)
Source: Adapted from reference 6

Table 4

Possible indicators of addiction in pain patients

 

ASAM-APS-AAPM behavioral criteriaExamples of specific behaviors in opioid therapy for pain
Impaired control over opioid usePatient requests early refills, frequently reports loss or theft of medication. Withdrawal noted at follow-up appointments despite having an adequate quantity of medication prescribed
Continued use despite harm from opioidsPatient exhibits declining function, opioid intoxication, persistent oversedation from opioids
Preoccupation with opioidsPatient ignores non-opioid interventions for pain, makes recurrent requests for opioid dose escalation (or complains of increasing pain) despite absence of disease progression or despite opioid dose increase by provider
AAPM: American Academy of Pain Medicine; APS: American Pain Society; ASAM: American Society of Addiction Medicine
Source: Adapted from reference 6

Helping POUD patients

Goals of treatment include establishing a therapeutic alliance, educating patients about POUD, reducing relapse risk, and optimizing overall health (including pain and physical function). The ASAM Patient Placement Criteria22 provide guidance regarding level-of-care decisions. Treatment ideally includes a combination of education about POUD and its relationship to chronic pain, pharmacotherapy, psychotherapy—such as motivational enhancement therapy, 12-step facilitation therapy, cognitive-behavioral therapy, and relapse prevention—and referral to self-help groups such as Narcotics Anonymous or Pills Anonymous. Importantly, if pain is genuine, it requires treatment.

 

Pharmacotherapy. Methadone is recommended as the standard of care for OUD by the National Institutes of Health. Methadone is a full opioid agonist that decreases illicit opioid use, mortality, and related problems and requires highly structured treatment approaches under federal and state regulation. POUD patients may have higher rates of methadone maintenance treatment retention than heroin-dependent patients.23 Published trials of buprenorphine for OUD have shown good treatment retention and reduction in illicit drug use and adverse events.24 Buprenorphine also decreases mortality among OUD patients.

 

The first large-scale, randomized clinical trial of buprenorphine specifically for POUD included 653 treatment-seeking outpatients.25 This study was designed to approximate clinical practice and included buprenorphine/naloxone, recommended abstinence, and self-help; one-half of participants received intensive addiction counseling. POUD patients were most likely to reduce prescription opioid misuse during buprenorphine/naloxone treatment. If tapered off buprenorphine/naloxone, even after 12 weeks of treatment, the likelihood of an unsuccessful outcome was high. Moreover, opioid dependence counseling did not seem to afford any difference in outcomes. However, despite clinical effectiveness, over the last decade only 19% of patients admitted primarily for OUD treatment (other than heroin) were planned to be offered buprenorphine or methadone.26

 

 

 

A Cochrane review of oral naltrexone for OUD found that the drug was no better than placebo but concluded that available evidence does not allow an adequate evaluation.27 Opioid antagonists may be of value to patients who do not want to take agonists or partial agonists. Extended-release naltrexone also is available to treat OUD.

See the Box below that details steps the FDA and others have taken to prevent POUD and Table 5 for precautions to incorporate when prescribing opioids long-term.

Box

 

Taking steps to prevent prescription opioid use disorder

The FDA has moved toward a risk evaluation and mitigation strategy (REMS) for opioids prescribed for pain that requires clinicians to receive training and certification in prescribing opioids for pain as well as identifying and reducing the risk for prescription opioid use disorder (POUD).a In 2011, the Obama administration developed an action plan to better address prescription drug abuse that required several federal agencies to develop programs and policies to address this growing problem; this plan was updated for 2012 (the complete National Drug Control Strategy 2012 is available at www.whitehouse.gov/sites/default/files/ondcp/2012_ndcs.pdf). The American Society of Addiction Medicine has issued a public policy statement that supports the federal approach and outlines other means to reduce POUD.b

Some pain specialists recommend requiring patients to sign an Opioid Pain Management Agreement that includes an “exit strategy” before the first opioid prescription is written. These agreements incorporate elements of “universal precautions” to take when prescribing opioids long term.c,d Although not well-studied, prescribing agreements may help educate patients and providers on how to interact in the management of pain with opioids in a way that is objective and empathic, and may reduce POUD risk.

References

 

  1. U.S. Department of Health and Human Services. U.S. Food and Drug Administration. Opioid drugs and risk evaluation and mitigation strategies (REMS). http://www.fda.gov/drugs/drugsafety/informationbydrugclass/ucm163647.htm. Updated April 5, 2012. Accessed June 28, 2012.
  2. American Society of Addiction Medicine. Measures to counteract prescription drug diversion, misuse and addiction. http://www.asam.org/advocacy/find-a-policy-statement/view-policy-statement/public-policy-statements/2012/01/26/measures-to-counteract-prescription-drug-diversion-misuse-and-addiction. Published January 25, 2012. Accessed June 20, 2012.
  3. Gourlay DL, Heit HA, Almahrezi A. Universal precautions in pain medicine: a rational approach to the treatment of chronic pain. Pain Med. 2005;6(2):107-112.
  4. Gourlay DL, Heit HA. Universal precautions revisited: managing the inherited pain patient. Pain Med. 2009; 10(suppl 2):S115-S123.

Table 5

Universal precautions with chronic opioid management

 

Goals of therapy: partial pain relief and improvement in physical, emotional, and/or social functioning
Requirement for a single prescribing provider or treatment team
Limitation on dose and number of prescribed medications
Prohibition of changing dosage without discussion with the provider first
Monitoring patient adherence; discuss the use of ‘pill counts’
Prohibition of use with alcohol, other sedating medications, or illegal drugs without discussion with the provider
Agreement not to drive or operate heavy machinery until abatement of medication-related drowsiness
Responsibility to keep medication safe and secure
Prohibition of selling, lending, sharing, or giving medication to others
Limitations on refills—only by appointment, in person, and no extra refills for running out early
Compliance with all components of overall treatment plan (including consultations and referrals)
Biological testing to screen for drugs of abuse or alcohol as well as to confirm the presence of prescribed opioids
Adverse effects and safety issues, such as the risk of physical dependence and addiction behaviors
The option of sharing information with family members and other providers, as necessary, with the patient’s consent
Need for periodic reevaluation of treatment
Reasons for stopping opioid therapy
Consequences of nonadherence with the treatment agreement
Source: Gourlay DL, Heit HA, Almahrezi A. Universal precautions in pain medicine: a rational approach to the treatment of chronic pain. Pain Med. 2005;6(2):107-112.

CASE CONTINUED: A closer evaluation

After expressing your appreciation for Mr. H’s kind words and empathy for his chronic pain, you redirect him to his PCP. You ask him to sign a release of information so you and his other clinicians can coordinate his care. When discussing Mr. H with his PCP, you learn the patient has made limited requests for early refills and dose escalation primarily in relation to inadequate pain control and function, has genuine pain pathology, and is greatly distressed over his inability to work. No other AMTBs are present, and a check of the state prescribing database reveals that Mr. H did receive a small quantity of opioids from an ED on 1 occasion.

You and Mr. H’s PCP agree this is “pseudo-addiction” but want to watch Mr. H more closely and look for ways to coordinate his care. The PCP agrees to implement a prescribing agreement, start drug testing (including for the prescribed opioids), and reassess maximizing Mr. H’s function and pain management while you address his combined pain, depression, insomnia, and tobacco use.

 

 

Related Resources

 

  • Ries RK, Fiellin D, Miller SC, et al, eds. Principles of addiction medicine. 4th ed. Hagerstown, MD: Lippincott Williams & Wilkins; 2009.
  • Department of Veterans Affairs. Department of Defense. VA/DoD clinical practice guideline for management of opioid therapy for chronic pain. Appendix C: sample opioid pain care agreement. http://www.healthquality.va.gov/COT_312_Full-er.pdf. Published May 2010. Accessed June 21, 2012.
  • Weaver M, Schnoll S. Addiction issues in prescribing opioids for chronic non-malignant pain. J Addiction Med. 2007;1(1):2-10.
  • Weaver M, Heit HA, Savage S, et al. Clinical case discussion: chronic pain management. J Addiction Med. 2007;1(1):11-14.

Drug Brand Names

 

  • Buprenorphine • Subutex
  • Buprenorphine/naloxone • Suboxone
  • Codeine • Tylenol with codeine, others
  • Fentanyl • Duragesic, Actiq
  • Hydrocodone • Lortab, Vicodin, others
  • Methadone • Dolophine, Methadose
  • Morphine • Roxanol
  • Naltrexone extended-release • Vivitrol
  • Oxycodone • OxyContin, Roxicodone

Disclosures

The authors report no financial relationship with any company whose products are mentioned in this article or with manufacturers of competing products.

Dr. Frankowski’s time toward this project was provided by the American Board of Addiction Medicine-accredited Cincinnati VA Addiction Medicine Research Fellowship, affiliated with the CeTREAD, Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH.

The statements in this publication do not necessarily reflect the views or opinions of the Department of Veterans Affairs.

Acknowledgement

The authors thank Catherine Constance and Sandra Mason at the Cincinnati VA Medical Center for their administrative assistance.

References

 

1. U.S. Department of Health and Human Services. Substance Abuse and Mental Health Services Administration. Office of Applied Studies. Results from the 2009 national survey on drug use and health: volume I. http://www.samhsa.gov/data/NSDUH/2k9NSDUH/2k9Results.htm. Accessed June 20, 2012.

2. Warner M, Chen LH, Makuc DM, et al. Drug poisoning deaths in the United States, 1980-2008. http://www.cdc.gov/nchs/data/databriefs/db81.htm. Published December 2011. Accessed June 20, 2012.

3. Centers for Disease Control and Prevention (CDC). Emergency department visits involving nonmedical use of selected prescription drugs - United States 2004-2008. MMWR Morb Mortal Wkly Rep. 2010;59(23):705-709.

4. Weaver M, Schnoll S. Addiction issues in prescribing opioids for chronic nonmalignant pain. J Addict Med. 2007;1(1):2-10.

5. American Psychiatric Association. R 19 opioid use disorder. http://www.dsm5.org/ProposedRevisions/Pages/proposedrevision.aspx?rid=460. Updated April 30 2012. Accessed June 20, 2012.

6. Savage SR, Horvath R. Opioid therapy of pain. In: Ries RK Fiellin DA, Miller SC, et al, eds. Principles of addiction medicine. 4th ed. Hagerstown, MD: Lippincott Williams & Wilkins; 2009:1329-1351.

7. Fishbain DA, Cole B, Lewis J, et al. What percentage of chronic nonmalignant pain patients exposed to chronic opioid analgesic therapy develop abuse/addiction and/or aberrant drug-related behaviors? A structured evidence-based review. Pain Med. 2008;9(4):444-459.

8. Gourlay DL, Heit HA. Pain and addiction: managing risk through comprehensive care. J Addict Dis. 2008;27(3):23-30.

9. Boscarino JA, Rukstalis MR, Hoffman SN, et al. Prevalence of prescription opioid-use disorder among chronic pain patients: comparison of the DSM-5 vs. DSM-4 diagnostic criteria. J Addict Dis. 2011;30(3):185-194.

10. Starrels JL, Becker WC, Weiner MG, et al. Low use of opioid risk reduction strategies in primary care even for high risk patients with chronic pain. J Gen Intern Med. 2011;26(9):958-964.

11. Miller NS. Failure of enforcement controlled substance laws in health policy for prescribing opiate medications: a painful assessment of morbidity and mortality. Am J Ther. 2006;13(6):527-533.

12. Turk DC, Swanson KS, Gatchel RJ. Predicting opioid misuse by chronic pain patients: a systematic review and literature synthesis. Clin J Pain. 2008;24(6):497-508.

13. Miller NS, Greenfeld A. Patient characteristics and risks factors for development of dependence on hydrocodone and oxycodone. Am J Ther. 2004;11(1):26-32.

14. Butler SF, Budman SH, Fernandez KC, et al. Cross-validation of a Screener to Predict Opioid Misuse in Chronic Pain Patients (SOAPP-R). J Addict Med. 2009;3(2):66-73.

15. Passik SD, Kirsh KL, Casper D. Addiction-related assessment tools and pain management: instruments for screening treatment planning, and monitoring compliance. Pain Med. 2008;9(suppl 2):S145-S166.

16. Chou R, Fanciullo GJ, Fine PG, et al. Opioids for chronic noncancer pain: prediction and identification of aberrant drug-related behaviors: a review of the evidence for an American Pain Society and American Academy of Pain Medicine clinical practice guideline. J Pain. 2009;10(2):131-146.

17. Alford DP, Liebschutz J, Jackson A, et al. Prescription drug abuse: an introduction. http://www.drugabuse.gov/sites/default/files/prescription-drug-abuse-alt.pdf. Published November 8, 2009. Accessed June 20, 2012.

18. Passik SD, Kirsh KL, Whitcomb L, et al. Monitoring outcomes during long-term opioid therapy for noncancer pain: results with the Pain Assessment and Documentation Tool. J Opioid Manag. 2005;1(5):257-266.

19. Webster LR, Webster RM. Predicting aberrant behaviors in opioid-treated patients: preliminary validation of the Opioid Risk Tool. Pain Med. 2005;6(6):432-442.

20. Passik SD. Pain management misstatements: ceiling effects red and yellow flags. Pain Med. 2006;7(1):76-77.

21. Diagnostic and statistical manual of mental disorders 4th ed text rev. Washington DC: American Psychiatric Association; 2000.

22. Mee-Lee D, Shulman GD, Fishman MJ, et al. eds. ASAM patient placement criteria for the treatment of substance-related disorders. 2nd ed. Chevy Chase, MD: American Society of Addiction Medicine, Inc.; 2001.

23. Banta-Green CJ, Maynard C, Koepsell TD, et al. Retention in methadone maintenance drug treatment for prescription-type opioid primary users compared to heroin users. Addiction. 2009;104(5):775-783.

24. Moore BA, Fiellin DA, Barry DT, et al. Primary care office-based buprenorphine treatment: comparison of heroin and prescription opioid dependent patients. J Gen Intern Med. 2007;22(4):527-530.

25. Weiss RD, Potter JS, Fiellin DA, et al. Adjunctive counseling during brief and extended buprenorphine-naloxone treatment for prescription opioid dependence: a 2-phase randomized controlled trial. Arch Gen Psychiatry. 2011;68(12):1238-1246.

26. U.S. Department of Health and Human Services (HHS). Substance Abuse and Mental Health Services Administration (SAMHSA). Office of Applied Studies. Treatment Episode Data Set (TEDS). 1998 - 2008. National Admissions to Substance Abuse Treatment Services, DASIS Series: S-50, HHS Publication No. (SMA) 09-4471. Rockville, MD; 2010.

27. Minozzi S, Amato L, Vecchi S, et al. Oral naltrexone maintenance treatment for opioid dependence. Cochrane Database Syst Rev. 2011;(4):CD001333.-

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Shannon C. Miller, MD, FASAM, FAPA, CTTS
Medical Director, Dual Diagnosis and Sobriety, Plus Clinics, Program Director, Addiction Medicine, Research Fellowship, Veterans Affairs (VA) Medical Center, Cincinnati, Professor of Clinical Psychiatry-Affiliated, Co-Program Director, Addiction Psychiatry Fellowship, Associate Director, Education, Training, and Dissemination Branch, Interim Co-Director, Center for Treatment, Research, and Education in Addictive Disorders (CeTREAD), Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH
Deborah Frankowski, MD
Staff Physician, Inpatient and Outpatient Detoxification Services, Residential Rehabilitation Service, VA Medical Center, Cincinnati, Assistant Professor of Clinical Psychiatry-Affiliated, CeTREAD, Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH

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Shannon C. Miller, MD, FASAM, FAPA, CTTS
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Deborah Frankowski, MD
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Deborah Frankowski, MD
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You’ve been treating Mr. H, a 54-year-old factory worker and tobacco user, for depression that developed after a work-related back injury and subsequent disability. His depression has had a fair response to an antidepressant. He also has been maintained on chronic opioids (morphine and oxycodone/acetaminophen) for 18 months by his primary care physician (PCP). At the end of your appointment, he asks you for a refill of the opioids because he “ran out” early because of increased night pain and resultant insomnia and “stress.” He clarifies he has asked for early refills before from his PCP, but lately he has been denied. Because you “seem to listen to me more,” he asks for your help. How should you manage Mr. H?

Opioids are among the most commonly misused prescription drugs in the United States.1 In 2008, poisoning was the leading cause of death from injury in the United States; roughly 90% of poisonings resulted from drug exposure, and >40% of these drug poisonings were from prescription opioids.2 The Centers for Disease Control and Prevention estimates that the number of emergency department (ED) visits for nonmedical use of opioids increased 111% between 2004 and 2008, from 144,600 to 305,900 visits.3 The highest number of visits were for use of oxycodone, hydrocodone, and methadone.3

Increased prescribing of opioids and overdose deaths attributable to prescribed opioids have raised concern among physicians about how to effectively treat pain as well as prevent, recognize, and manage aberrant medication-taking behaviors (AMTBs). Psychiatrists are well-positioned to screen and manage their own patients for prescription opioid use disorder (POUD) or collaborate with opioid prescribers to accomplish the same.

Clarifying terminology

Terminology used to describe POUD and related conditions often is poorly defined or loosely applied. Because emotions often enter discussions between patients and physicians about problems related to opioid therapy, nonstigmatizing and more objective terminology is needed, and clinicians are working toward standardizing this. Relevant terms are defined in Table 1.4

The DSM-5 Substance Use Disorders Work Group has proposed using the term opioid use disorder (OUD) to replace the term opioid dependence.5 The hope is that removing the word “dependence” from the diagnostic term will reduce confusion between “dependence” due to expected physical dependence (tolerance, withdrawal) on medically prescribed opioids vs true addiction (currently defined as “opioid dependence” in DSM-IV-TR). This Work Group also has proposed combining opioid abuse and opioid dependence criteria into a single diagnosis of OUD, and adding “craving” to the criteria. For the complete proposed criteria, see www.dsm5.org/ProposedRevisions/Pages/proposedrevision.aspx?rid=460.These changes are still under review. In this article, we use the term POUD.

Table 1

Terminology related to prescription opioid use disorder

 

TermDefinition
Chronic painaPain that extends beyond the expected period for healing (6 months), initiated by tissue damage, but perpetrated by the interaction of physiologic, affective, and environmental factors
Chronic nonmalignant painaChronic pain associated with diverse diagnoses and syndromes that are not terminal but affect the patient’s function
Appropriate useaTaking a prescription as prescribed, and only for the condition indicated
MisuseaTaking a prescription for a reason or at a dose or frequency other than for which it was prescribed; this may or may not reflect POUD
Drug-seeking behaviorsPatient behaviors directed toward obtaining controlled substances, driven not by amelioration of the condition for which the medication was indicated but rather by other maladaptive gains; this may or may not reflect POUD
Chemical copingTaking a controlled substance medication to relieve psychological problems (eg, to relieve low mood, anxiety, insomnia) and for reasons other than the purpose for which it was prescribed; this may or may not reflect POUD
Aberrant medication-taking behaviorsaTaking a controlled substance medication in a manner that is not prescribed; causes for this may include:
  • lack of understanding about how to take the opioid appropriately
  • external pressures, such as to give to another person for his or her pain
  • chemical coping
  • pseudoaddiction (see below), including:
  • addiction or substance use disorder (such as POUD)
  • diversion
PseudoaddictionAn iatrogenic syndrome of “addiction-like” behaviors in which the patient seeks opioids to relieve pain—such as seeking different doctors, self-adjusting the opioid dose, early refills of opioids, etc.—rather than to achieve pleasure or other nonpain-related effect. At times mistaken for true addiction, these behaviors tend to resolve and function improves once analgesia is better addressed
a These terms and definitions are adapted from reference 4. The remaining terms and definitions were developed by the authors
POUD: prescription opioid use disorder

POUD and chronic pain

The incidence of POUD during opioid therapy for pain is unknown.6 Some researchers have suggested it may be as low as 0.2%,7 while others estimate that rates of POUD in patients with chronic pain may be similar to those in the general population: 3% to 16%.8 When applying the proposed DSM-5 criteria to patients receiving long-term opioid therapy for noncancer pain, the lifetime prevalence of POUD may be as high as 35%.9

 

 

 

Prescribers may be contributing to POUD. Roughly 76% of opioids used for nonmedical purposes were prescribed to someone else, 20% were prescribed to the user, and 4% came from other sources.1 Strategies to reduce POUD risk may be underused. In a retrospective cohort study of 1,612 patient electronic medical records from 8 primary care clinics that managed patients with long-term opioids for chronic noncancer pain (average prescribing duration of 2 years duration, ≥3 monthly prescriptions in 6 months), researchers evaluated how often prescribers used 3 risk reduction practices:

 

  • urine drug tests
  • regular office visits (≥1 every 6 months and within 30 days of changing opioid treatment)
  • restricted early refills (≤1 opioid refill more than a week early).10

Risk factors for opioid misuse included age 1 early refill. Researchers found that even for high-risk patients, these strategies were used infrequently. Less than one-quarter of patients with ≥3 risk factors ever had a drug test, and those at increased risk were more likely to receive >1 early refill but no more likely to have more frequent visits. Issues such as patient entitlement, lack of physician education, and time constraints may explain why these strategies are not used more often.11

No one procedure or set of variables is sufficient to identify chronic pain patients who may be at risk for POUD. However, a history of drug or alcohol use disorders may be a significant risk factor.12,13

 

Few tools have been developed to help identify those at risk of AMTBs or POUD, and all have limitations.4,14 Recommended self-report measures include the Current Opioid Misuse Measure and the Opioid Risk Tool.15 A review of studies in which these kinds of tools were developed revealed limited evidence for their use; most studies had methodological shortcomings, did not use standardized AMTB criteria, and provided little assessment of whether these tools changed clinician behaviors or improved patient outcomes.16

Evaluating AMTBs

Although diagnosing POUD in pain patients receiving chronic opioids can be challenging, assessing for AMTBs typically is helpful. Once AMTBs are identified, they can be examined to determine what drives their expression (Table 14 and Table 217). However, often it is easier to identify AMTBs than to interpret their origins; as much as 30% to 50% of patients who complain of chronic pain may have primary substance dependence to sedatives, opioids, or both.11

Table 2

Aberrant medication-taking behaviors and POUD risk

 

Behaviors more suggestive of POUD
  Deterioration in function (work, social)
  Illegal activities (selling medication, forging prescriptions, buying from non-medical sources)
  Altering the route of administration (snorting, injecting)
  Multiple episodes of ‘lost’ or ‘stolen’ prescriptions
  Resistance to change therapy despite negative outcomes
  Refusal to comply with toxicology testing
  Concurrent, active abuse of alcohol, illegal drugs
  Use of multiple physicians or pharmacies to obtain the prescription
Behaviors less suggestive of POUD
  Complaints for more medication
  Medication hoarding
  Requesting specific pain medications
  Openly acquiring similar medications from other providers
  Occasional unsanctioned dose escalation
  Nonadherence to other recommendations for pain therapy
POUD: prescription opioid use disorder
Source: Reference 17

Although AMTBs are common among chronic nonmalignant pain patients,18,19 how often AMTBs reflect underlying POUD is uncertain.7 It is critical to interpret AMTBs with a balance of caution and care: “react therapeutically, not punitively.”20 Categorizing a patient’s AMTB as more or less likely to support a POUD diagnosis can be helpful, but is not conclusive (Table 2).17 Clinical correlation often is required. No single AMTB alone is indicative of POUD. When evaluating AMTBs, the treating provider should use a nonjudgmental stance, and consider obtaining collateral data from people who can provide differing perspectives of the patient’s behaviors, such as other clinicians, significant others, family, etc. (a release of information from the patient may be required). Another source of collateral data is prescription monitoring databases. These databases typically are state-based and provide electronic access to prescription information, allowing you to search for patterns—ie, use of multiple prescribers or pharmacies, undisclosed prescriptions, etc. Interest in establishing a single, federal database has been increasing, but striking a balance between carefully monitoring for AMTBs and protecting privacy remains unresolved.

 

DSM-IV-TR diagnostic criteria for opioid dependence21 can be challenging to interpret in patients who are prescribed opioids for pain (Table 3

 

 

).6 To clarify interpretation, the Liaison Committee on Pain and Addiction of the American Society of Addiction Medicine (ASAM) has provided an outline of possible indicators of addiction in pain patients (Table 4).6 This was a consensus statement from the American Pain Society, the American Academy of Pain Medicine, and ASAM.

Assessment is primarily clinical and requires an awareness of appropriate terminology, an index of clinical suspicion, and expertise teasing apart pain, addiction, and pseudoaddiction. In our experience, it is helpful to ask a chronic pain patient whom you suspect might have POUD, “Have you ever used your prescribed opioids for reasons other than improving function or reducing pain, such as for getting a ‘high,’ managing stress, escaping from problems, etc.?” An affirmative response suggests an underlying problem with use of prescribed opioids, indicating a need for more careful questioning to determine if AMTBs or POUD coexist with chronic pain.

Drug testing can help determine if a patient is taking opioids that are not prescribed—as well as illicit drugs or alcohol—and confirm the presence of those that are prescribed. Toxicology screening should include opioids typically screened for (eg, morphine, codeine, heroin) and those for which additional tests may be required (eg, semi-synthetics such as oxycodone and hydrocodone and synthetics such as fentanyl).

Table 3

Identifying addiction in pain patients: Limitations of DSM-IV-TR

 

DSM-IV-TR substance dependence criteriaChallenges in using criterion to diagnose prescription opioid use disorder
ToleranceExpected with prolonged opioid compliance
Physical dependence, withdrawalExpected with prolonged opioid compliance
Use of larger amounts or longer than initially intendedEmergence of pain may demand increased dose or prolonged use
Multiple failed attempts to cut down or controlEmergence of pain may deter dose reduction or cessation
Time spent finding, using, or recoveringDifficulty finding adequate pain treatment may increase time spent pursuing analgesics. However, time spent recovering from overuse may suggest addiction
Given up or reduced important activitiesValid criteria—engaging in activities is expected to increase, not decline, with effective pain treatment
Continued use despite knowledge of negative consequencesValid criteria—no harm is anticipated from analgesic opioid use for pain (see Table 4)
Source: Adapted from reference 6

Table 4

Possible indicators of addiction in pain patients

 

ASAM-APS-AAPM behavioral criteriaExamples of specific behaviors in opioid therapy for pain
Impaired control over opioid usePatient requests early refills, frequently reports loss or theft of medication. Withdrawal noted at follow-up appointments despite having an adequate quantity of medication prescribed
Continued use despite harm from opioidsPatient exhibits declining function, opioid intoxication, persistent oversedation from opioids
Preoccupation with opioidsPatient ignores non-opioid interventions for pain, makes recurrent requests for opioid dose escalation (or complains of increasing pain) despite absence of disease progression or despite opioid dose increase by provider
AAPM: American Academy of Pain Medicine; APS: American Pain Society; ASAM: American Society of Addiction Medicine
Source: Adapted from reference 6

Helping POUD patients

Goals of treatment include establishing a therapeutic alliance, educating patients about POUD, reducing relapse risk, and optimizing overall health (including pain and physical function). The ASAM Patient Placement Criteria22 provide guidance regarding level-of-care decisions. Treatment ideally includes a combination of education about POUD and its relationship to chronic pain, pharmacotherapy, psychotherapy—such as motivational enhancement therapy, 12-step facilitation therapy, cognitive-behavioral therapy, and relapse prevention—and referral to self-help groups such as Narcotics Anonymous or Pills Anonymous. Importantly, if pain is genuine, it requires treatment.

 

Pharmacotherapy. Methadone is recommended as the standard of care for OUD by the National Institutes of Health. Methadone is a full opioid agonist that decreases illicit opioid use, mortality, and related problems and requires highly structured treatment approaches under federal and state regulation. POUD patients may have higher rates of methadone maintenance treatment retention than heroin-dependent patients.23 Published trials of buprenorphine for OUD have shown good treatment retention and reduction in illicit drug use and adverse events.24 Buprenorphine also decreases mortality among OUD patients.

 

The first large-scale, randomized clinical trial of buprenorphine specifically for POUD included 653 treatment-seeking outpatients.25 This study was designed to approximate clinical practice and included buprenorphine/naloxone, recommended abstinence, and self-help; one-half of participants received intensive addiction counseling. POUD patients were most likely to reduce prescription opioid misuse during buprenorphine/naloxone treatment. If tapered off buprenorphine/naloxone, even after 12 weeks of treatment, the likelihood of an unsuccessful outcome was high. Moreover, opioid dependence counseling did not seem to afford any difference in outcomes. However, despite clinical effectiveness, over the last decade only 19% of patients admitted primarily for OUD treatment (other than heroin) were planned to be offered buprenorphine or methadone.26

 

 

 

A Cochrane review of oral naltrexone for OUD found that the drug was no better than placebo but concluded that available evidence does not allow an adequate evaluation.27 Opioid antagonists may be of value to patients who do not want to take agonists or partial agonists. Extended-release naltrexone also is available to treat OUD.

See the Box below that details steps the FDA and others have taken to prevent POUD and Table 5 for precautions to incorporate when prescribing opioids long-term.

Box

 

Taking steps to prevent prescription opioid use disorder

The FDA has moved toward a risk evaluation and mitigation strategy (REMS) for opioids prescribed for pain that requires clinicians to receive training and certification in prescribing opioids for pain as well as identifying and reducing the risk for prescription opioid use disorder (POUD).a In 2011, the Obama administration developed an action plan to better address prescription drug abuse that required several federal agencies to develop programs and policies to address this growing problem; this plan was updated for 2012 (the complete National Drug Control Strategy 2012 is available at www.whitehouse.gov/sites/default/files/ondcp/2012_ndcs.pdf). The American Society of Addiction Medicine has issued a public policy statement that supports the federal approach and outlines other means to reduce POUD.b

Some pain specialists recommend requiring patients to sign an Opioid Pain Management Agreement that includes an “exit strategy” before the first opioid prescription is written. These agreements incorporate elements of “universal precautions” to take when prescribing opioids long term.c,d Although not well-studied, prescribing agreements may help educate patients and providers on how to interact in the management of pain with opioids in a way that is objective and empathic, and may reduce POUD risk.

References

 

  1. U.S. Department of Health and Human Services. U.S. Food and Drug Administration. Opioid drugs and risk evaluation and mitigation strategies (REMS). http://www.fda.gov/drugs/drugsafety/informationbydrugclass/ucm163647.htm. Updated April 5, 2012. Accessed June 28, 2012.
  2. American Society of Addiction Medicine. Measures to counteract prescription drug diversion, misuse and addiction. http://www.asam.org/advocacy/find-a-policy-statement/view-policy-statement/public-policy-statements/2012/01/26/measures-to-counteract-prescription-drug-diversion-misuse-and-addiction. Published January 25, 2012. Accessed June 20, 2012.
  3. Gourlay DL, Heit HA, Almahrezi A. Universal precautions in pain medicine: a rational approach to the treatment of chronic pain. Pain Med. 2005;6(2):107-112.
  4. Gourlay DL, Heit HA. Universal precautions revisited: managing the inherited pain patient. Pain Med. 2009; 10(suppl 2):S115-S123.

Table 5

Universal precautions with chronic opioid management

 

Goals of therapy: partial pain relief and improvement in physical, emotional, and/or social functioning
Requirement for a single prescribing provider or treatment team
Limitation on dose and number of prescribed medications
Prohibition of changing dosage without discussion with the provider first
Monitoring patient adherence; discuss the use of ‘pill counts’
Prohibition of use with alcohol, other sedating medications, or illegal drugs without discussion with the provider
Agreement not to drive or operate heavy machinery until abatement of medication-related drowsiness
Responsibility to keep medication safe and secure
Prohibition of selling, lending, sharing, or giving medication to others
Limitations on refills—only by appointment, in person, and no extra refills for running out early
Compliance with all components of overall treatment plan (including consultations and referrals)
Biological testing to screen for drugs of abuse or alcohol as well as to confirm the presence of prescribed opioids
Adverse effects and safety issues, such as the risk of physical dependence and addiction behaviors
The option of sharing information with family members and other providers, as necessary, with the patient’s consent
Need for periodic reevaluation of treatment
Reasons for stopping opioid therapy
Consequences of nonadherence with the treatment agreement
Source: Gourlay DL, Heit HA, Almahrezi A. Universal precautions in pain medicine: a rational approach to the treatment of chronic pain. Pain Med. 2005;6(2):107-112.

CASE CONTINUED: A closer evaluation

After expressing your appreciation for Mr. H’s kind words and empathy for his chronic pain, you redirect him to his PCP. You ask him to sign a release of information so you and his other clinicians can coordinate his care. When discussing Mr. H with his PCP, you learn the patient has made limited requests for early refills and dose escalation primarily in relation to inadequate pain control and function, has genuine pain pathology, and is greatly distressed over his inability to work. No other AMTBs are present, and a check of the state prescribing database reveals that Mr. H did receive a small quantity of opioids from an ED on 1 occasion.

You and Mr. H’s PCP agree this is “pseudo-addiction” but want to watch Mr. H more closely and look for ways to coordinate his care. The PCP agrees to implement a prescribing agreement, start drug testing (including for the prescribed opioids), and reassess maximizing Mr. H’s function and pain management while you address his combined pain, depression, insomnia, and tobacco use.

 

 

Related Resources

 

  • Ries RK, Fiellin D, Miller SC, et al, eds. Principles of addiction medicine. 4th ed. Hagerstown, MD: Lippincott Williams & Wilkins; 2009.
  • Department of Veterans Affairs. Department of Defense. VA/DoD clinical practice guideline for management of opioid therapy for chronic pain. Appendix C: sample opioid pain care agreement. http://www.healthquality.va.gov/COT_312_Full-er.pdf. Published May 2010. Accessed June 21, 2012.
  • Weaver M, Schnoll S. Addiction issues in prescribing opioids for chronic non-malignant pain. J Addiction Med. 2007;1(1):2-10.
  • Weaver M, Heit HA, Savage S, et al. Clinical case discussion: chronic pain management. J Addiction Med. 2007;1(1):11-14.

Drug Brand Names

 

  • Buprenorphine • Subutex
  • Buprenorphine/naloxone • Suboxone
  • Codeine • Tylenol with codeine, others
  • Fentanyl • Duragesic, Actiq
  • Hydrocodone • Lortab, Vicodin, others
  • Methadone • Dolophine, Methadose
  • Morphine • Roxanol
  • Naltrexone extended-release • Vivitrol
  • Oxycodone • OxyContin, Roxicodone

Disclosures

The authors report no financial relationship with any company whose products are mentioned in this article or with manufacturers of competing products.

Dr. Frankowski’s time toward this project was provided by the American Board of Addiction Medicine-accredited Cincinnati VA Addiction Medicine Research Fellowship, affiliated with the CeTREAD, Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH.

The statements in this publication do not necessarily reflect the views or opinions of the Department of Veterans Affairs.

Acknowledgement

The authors thank Catherine Constance and Sandra Mason at the Cincinnati VA Medical Center for their administrative assistance.

Discuss this article at www.facebook.com/CurrentPsychiatry

You’ve been treating Mr. H, a 54-year-old factory worker and tobacco user, for depression that developed after a work-related back injury and subsequent disability. His depression has had a fair response to an antidepressant. He also has been maintained on chronic opioids (morphine and oxycodone/acetaminophen) for 18 months by his primary care physician (PCP). At the end of your appointment, he asks you for a refill of the opioids because he “ran out” early because of increased night pain and resultant insomnia and “stress.” He clarifies he has asked for early refills before from his PCP, but lately he has been denied. Because you “seem to listen to me more,” he asks for your help. How should you manage Mr. H?

Opioids are among the most commonly misused prescription drugs in the United States.1 In 2008, poisoning was the leading cause of death from injury in the United States; roughly 90% of poisonings resulted from drug exposure, and >40% of these drug poisonings were from prescription opioids.2 The Centers for Disease Control and Prevention estimates that the number of emergency department (ED) visits for nonmedical use of opioids increased 111% between 2004 and 2008, from 144,600 to 305,900 visits.3 The highest number of visits were for use of oxycodone, hydrocodone, and methadone.3

Increased prescribing of opioids and overdose deaths attributable to prescribed opioids have raised concern among physicians about how to effectively treat pain as well as prevent, recognize, and manage aberrant medication-taking behaviors (AMTBs). Psychiatrists are well-positioned to screen and manage their own patients for prescription opioid use disorder (POUD) or collaborate with opioid prescribers to accomplish the same.

Clarifying terminology

Terminology used to describe POUD and related conditions often is poorly defined or loosely applied. Because emotions often enter discussions between patients and physicians about problems related to opioid therapy, nonstigmatizing and more objective terminology is needed, and clinicians are working toward standardizing this. Relevant terms are defined in Table 1.4

The DSM-5 Substance Use Disorders Work Group has proposed using the term opioid use disorder (OUD) to replace the term opioid dependence.5 The hope is that removing the word “dependence” from the diagnostic term will reduce confusion between “dependence” due to expected physical dependence (tolerance, withdrawal) on medically prescribed opioids vs true addiction (currently defined as “opioid dependence” in DSM-IV-TR). This Work Group also has proposed combining opioid abuse and opioid dependence criteria into a single diagnosis of OUD, and adding “craving” to the criteria. For the complete proposed criteria, see www.dsm5.org/ProposedRevisions/Pages/proposedrevision.aspx?rid=460.These changes are still under review. In this article, we use the term POUD.

Table 1

Terminology related to prescription opioid use disorder

 

TermDefinition
Chronic painaPain that extends beyond the expected period for healing (6 months), initiated by tissue damage, but perpetrated by the interaction of physiologic, affective, and environmental factors
Chronic nonmalignant painaChronic pain associated with diverse diagnoses and syndromes that are not terminal but affect the patient’s function
Appropriate useaTaking a prescription as prescribed, and only for the condition indicated
MisuseaTaking a prescription for a reason or at a dose or frequency other than for which it was prescribed; this may or may not reflect POUD
Drug-seeking behaviorsPatient behaviors directed toward obtaining controlled substances, driven not by amelioration of the condition for which the medication was indicated but rather by other maladaptive gains; this may or may not reflect POUD
Chemical copingTaking a controlled substance medication to relieve psychological problems (eg, to relieve low mood, anxiety, insomnia) and for reasons other than the purpose for which it was prescribed; this may or may not reflect POUD
Aberrant medication-taking behaviorsaTaking a controlled substance medication in a manner that is not prescribed; causes for this may include:
  • lack of understanding about how to take the opioid appropriately
  • external pressures, such as to give to another person for his or her pain
  • chemical coping
  • pseudoaddiction (see below), including:
  • addiction or substance use disorder (such as POUD)
  • diversion
PseudoaddictionAn iatrogenic syndrome of “addiction-like” behaviors in which the patient seeks opioids to relieve pain—such as seeking different doctors, self-adjusting the opioid dose, early refills of opioids, etc.—rather than to achieve pleasure or other nonpain-related effect. At times mistaken for true addiction, these behaviors tend to resolve and function improves once analgesia is better addressed
a These terms and definitions are adapted from reference 4. The remaining terms and definitions were developed by the authors
POUD: prescription opioid use disorder

POUD and chronic pain

The incidence of POUD during opioid therapy for pain is unknown.6 Some researchers have suggested it may be as low as 0.2%,7 while others estimate that rates of POUD in patients with chronic pain may be similar to those in the general population: 3% to 16%.8 When applying the proposed DSM-5 criteria to patients receiving long-term opioid therapy for noncancer pain, the lifetime prevalence of POUD may be as high as 35%.9

 

 

 

Prescribers may be contributing to POUD. Roughly 76% of opioids used for nonmedical purposes were prescribed to someone else, 20% were prescribed to the user, and 4% came from other sources.1 Strategies to reduce POUD risk may be underused. In a retrospective cohort study of 1,612 patient electronic medical records from 8 primary care clinics that managed patients with long-term opioids for chronic noncancer pain (average prescribing duration of 2 years duration, ≥3 monthly prescriptions in 6 months), researchers evaluated how often prescribers used 3 risk reduction practices:

 

  • urine drug tests
  • regular office visits (≥1 every 6 months and within 30 days of changing opioid treatment)
  • restricted early refills (≤1 opioid refill more than a week early).10

Risk factors for opioid misuse included age 1 early refill. Researchers found that even for high-risk patients, these strategies were used infrequently. Less than one-quarter of patients with ≥3 risk factors ever had a drug test, and those at increased risk were more likely to receive >1 early refill but no more likely to have more frequent visits. Issues such as patient entitlement, lack of physician education, and time constraints may explain why these strategies are not used more often.11

No one procedure or set of variables is sufficient to identify chronic pain patients who may be at risk for POUD. However, a history of drug or alcohol use disorders may be a significant risk factor.12,13

 

Few tools have been developed to help identify those at risk of AMTBs or POUD, and all have limitations.4,14 Recommended self-report measures include the Current Opioid Misuse Measure and the Opioid Risk Tool.15 A review of studies in which these kinds of tools were developed revealed limited evidence for their use; most studies had methodological shortcomings, did not use standardized AMTB criteria, and provided little assessment of whether these tools changed clinician behaviors or improved patient outcomes.16

Evaluating AMTBs

Although diagnosing POUD in pain patients receiving chronic opioids can be challenging, assessing for AMTBs typically is helpful. Once AMTBs are identified, they can be examined to determine what drives their expression (Table 14 and Table 217). However, often it is easier to identify AMTBs than to interpret their origins; as much as 30% to 50% of patients who complain of chronic pain may have primary substance dependence to sedatives, opioids, or both.11

Table 2

Aberrant medication-taking behaviors and POUD risk

 

Behaviors more suggestive of POUD
  Deterioration in function (work, social)
  Illegal activities (selling medication, forging prescriptions, buying from non-medical sources)
  Altering the route of administration (snorting, injecting)
  Multiple episodes of ‘lost’ or ‘stolen’ prescriptions
  Resistance to change therapy despite negative outcomes
  Refusal to comply with toxicology testing
  Concurrent, active abuse of alcohol, illegal drugs
  Use of multiple physicians or pharmacies to obtain the prescription
Behaviors less suggestive of POUD
  Complaints for more medication
  Medication hoarding
  Requesting specific pain medications
  Openly acquiring similar medications from other providers
  Occasional unsanctioned dose escalation
  Nonadherence to other recommendations for pain therapy
POUD: prescription opioid use disorder
Source: Reference 17

Although AMTBs are common among chronic nonmalignant pain patients,18,19 how often AMTBs reflect underlying POUD is uncertain.7 It is critical to interpret AMTBs with a balance of caution and care: “react therapeutically, not punitively.”20 Categorizing a patient’s AMTB as more or less likely to support a POUD diagnosis can be helpful, but is not conclusive (Table 2).17 Clinical correlation often is required. No single AMTB alone is indicative of POUD. When evaluating AMTBs, the treating provider should use a nonjudgmental stance, and consider obtaining collateral data from people who can provide differing perspectives of the patient’s behaviors, such as other clinicians, significant others, family, etc. (a release of information from the patient may be required). Another source of collateral data is prescription monitoring databases. These databases typically are state-based and provide electronic access to prescription information, allowing you to search for patterns—ie, use of multiple prescribers or pharmacies, undisclosed prescriptions, etc. Interest in establishing a single, federal database has been increasing, but striking a balance between carefully monitoring for AMTBs and protecting privacy remains unresolved.

 

DSM-IV-TR diagnostic criteria for opioid dependence21 can be challenging to interpret in patients who are prescribed opioids for pain (Table 3

 

 

).6 To clarify interpretation, the Liaison Committee on Pain and Addiction of the American Society of Addiction Medicine (ASAM) has provided an outline of possible indicators of addiction in pain patients (Table 4).6 This was a consensus statement from the American Pain Society, the American Academy of Pain Medicine, and ASAM.

Assessment is primarily clinical and requires an awareness of appropriate terminology, an index of clinical suspicion, and expertise teasing apart pain, addiction, and pseudoaddiction. In our experience, it is helpful to ask a chronic pain patient whom you suspect might have POUD, “Have you ever used your prescribed opioids for reasons other than improving function or reducing pain, such as for getting a ‘high,’ managing stress, escaping from problems, etc.?” An affirmative response suggests an underlying problem with use of prescribed opioids, indicating a need for more careful questioning to determine if AMTBs or POUD coexist with chronic pain.

Drug testing can help determine if a patient is taking opioids that are not prescribed—as well as illicit drugs or alcohol—and confirm the presence of those that are prescribed. Toxicology screening should include opioids typically screened for (eg, morphine, codeine, heroin) and those for which additional tests may be required (eg, semi-synthetics such as oxycodone and hydrocodone and synthetics such as fentanyl).

Table 3

Identifying addiction in pain patients: Limitations of DSM-IV-TR

 

DSM-IV-TR substance dependence criteriaChallenges in using criterion to diagnose prescription opioid use disorder
ToleranceExpected with prolonged opioid compliance
Physical dependence, withdrawalExpected with prolonged opioid compliance
Use of larger amounts or longer than initially intendedEmergence of pain may demand increased dose or prolonged use
Multiple failed attempts to cut down or controlEmergence of pain may deter dose reduction or cessation
Time spent finding, using, or recoveringDifficulty finding adequate pain treatment may increase time spent pursuing analgesics. However, time spent recovering from overuse may suggest addiction
Given up or reduced important activitiesValid criteria—engaging in activities is expected to increase, not decline, with effective pain treatment
Continued use despite knowledge of negative consequencesValid criteria—no harm is anticipated from analgesic opioid use for pain (see Table 4)
Source: Adapted from reference 6

Table 4

Possible indicators of addiction in pain patients

 

ASAM-APS-AAPM behavioral criteriaExamples of specific behaviors in opioid therapy for pain
Impaired control over opioid usePatient requests early refills, frequently reports loss or theft of medication. Withdrawal noted at follow-up appointments despite having an adequate quantity of medication prescribed
Continued use despite harm from opioidsPatient exhibits declining function, opioid intoxication, persistent oversedation from opioids
Preoccupation with opioidsPatient ignores non-opioid interventions for pain, makes recurrent requests for opioid dose escalation (or complains of increasing pain) despite absence of disease progression or despite opioid dose increase by provider
AAPM: American Academy of Pain Medicine; APS: American Pain Society; ASAM: American Society of Addiction Medicine
Source: Adapted from reference 6

Helping POUD patients

Goals of treatment include establishing a therapeutic alliance, educating patients about POUD, reducing relapse risk, and optimizing overall health (including pain and physical function). The ASAM Patient Placement Criteria22 provide guidance regarding level-of-care decisions. Treatment ideally includes a combination of education about POUD and its relationship to chronic pain, pharmacotherapy, psychotherapy—such as motivational enhancement therapy, 12-step facilitation therapy, cognitive-behavioral therapy, and relapse prevention—and referral to self-help groups such as Narcotics Anonymous or Pills Anonymous. Importantly, if pain is genuine, it requires treatment.

 

Pharmacotherapy. Methadone is recommended as the standard of care for OUD by the National Institutes of Health. Methadone is a full opioid agonist that decreases illicit opioid use, mortality, and related problems and requires highly structured treatment approaches under federal and state regulation. POUD patients may have higher rates of methadone maintenance treatment retention than heroin-dependent patients.23 Published trials of buprenorphine for OUD have shown good treatment retention and reduction in illicit drug use and adverse events.24 Buprenorphine also decreases mortality among OUD patients.

 

The first large-scale, randomized clinical trial of buprenorphine specifically for POUD included 653 treatment-seeking outpatients.25 This study was designed to approximate clinical practice and included buprenorphine/naloxone, recommended abstinence, and self-help; one-half of participants received intensive addiction counseling. POUD patients were most likely to reduce prescription opioid misuse during buprenorphine/naloxone treatment. If tapered off buprenorphine/naloxone, even after 12 weeks of treatment, the likelihood of an unsuccessful outcome was high. Moreover, opioid dependence counseling did not seem to afford any difference in outcomes. However, despite clinical effectiveness, over the last decade only 19% of patients admitted primarily for OUD treatment (other than heroin) were planned to be offered buprenorphine or methadone.26

 

 

 

A Cochrane review of oral naltrexone for OUD found that the drug was no better than placebo but concluded that available evidence does not allow an adequate evaluation.27 Opioid antagonists may be of value to patients who do not want to take agonists or partial agonists. Extended-release naltrexone also is available to treat OUD.

See the Box below that details steps the FDA and others have taken to prevent POUD and Table 5 for precautions to incorporate when prescribing opioids long-term.

Box

 

Taking steps to prevent prescription opioid use disorder

The FDA has moved toward a risk evaluation and mitigation strategy (REMS) for opioids prescribed for pain that requires clinicians to receive training and certification in prescribing opioids for pain as well as identifying and reducing the risk for prescription opioid use disorder (POUD).a In 2011, the Obama administration developed an action plan to better address prescription drug abuse that required several federal agencies to develop programs and policies to address this growing problem; this plan was updated for 2012 (the complete National Drug Control Strategy 2012 is available at www.whitehouse.gov/sites/default/files/ondcp/2012_ndcs.pdf). The American Society of Addiction Medicine has issued a public policy statement that supports the federal approach and outlines other means to reduce POUD.b

Some pain specialists recommend requiring patients to sign an Opioid Pain Management Agreement that includes an “exit strategy” before the first opioid prescription is written. These agreements incorporate elements of “universal precautions” to take when prescribing opioids long term.c,d Although not well-studied, prescribing agreements may help educate patients and providers on how to interact in the management of pain with opioids in a way that is objective and empathic, and may reduce POUD risk.

References

 

  1. U.S. Department of Health and Human Services. U.S. Food and Drug Administration. Opioid drugs and risk evaluation and mitigation strategies (REMS). http://www.fda.gov/drugs/drugsafety/informationbydrugclass/ucm163647.htm. Updated April 5, 2012. Accessed June 28, 2012.
  2. American Society of Addiction Medicine. Measures to counteract prescription drug diversion, misuse and addiction. http://www.asam.org/advocacy/find-a-policy-statement/view-policy-statement/public-policy-statements/2012/01/26/measures-to-counteract-prescription-drug-diversion-misuse-and-addiction. Published January 25, 2012. Accessed June 20, 2012.
  3. Gourlay DL, Heit HA, Almahrezi A. Universal precautions in pain medicine: a rational approach to the treatment of chronic pain. Pain Med. 2005;6(2):107-112.
  4. Gourlay DL, Heit HA. Universal precautions revisited: managing the inherited pain patient. Pain Med. 2009; 10(suppl 2):S115-S123.

Table 5

Universal precautions with chronic opioid management

 

Goals of therapy: partial pain relief and improvement in physical, emotional, and/or social functioning
Requirement for a single prescribing provider or treatment team
Limitation on dose and number of prescribed medications
Prohibition of changing dosage without discussion with the provider first
Monitoring patient adherence; discuss the use of ‘pill counts’
Prohibition of use with alcohol, other sedating medications, or illegal drugs without discussion with the provider
Agreement not to drive or operate heavy machinery until abatement of medication-related drowsiness
Responsibility to keep medication safe and secure
Prohibition of selling, lending, sharing, or giving medication to others
Limitations on refills—only by appointment, in person, and no extra refills for running out early
Compliance with all components of overall treatment plan (including consultations and referrals)
Biological testing to screen for drugs of abuse or alcohol as well as to confirm the presence of prescribed opioids
Adverse effects and safety issues, such as the risk of physical dependence and addiction behaviors
The option of sharing information with family members and other providers, as necessary, with the patient’s consent
Need for periodic reevaluation of treatment
Reasons for stopping opioid therapy
Consequences of nonadherence with the treatment agreement
Source: Gourlay DL, Heit HA, Almahrezi A. Universal precautions in pain medicine: a rational approach to the treatment of chronic pain. Pain Med. 2005;6(2):107-112.

CASE CONTINUED: A closer evaluation

After expressing your appreciation for Mr. H’s kind words and empathy for his chronic pain, you redirect him to his PCP. You ask him to sign a release of information so you and his other clinicians can coordinate his care. When discussing Mr. H with his PCP, you learn the patient has made limited requests for early refills and dose escalation primarily in relation to inadequate pain control and function, has genuine pain pathology, and is greatly distressed over his inability to work. No other AMTBs are present, and a check of the state prescribing database reveals that Mr. H did receive a small quantity of opioids from an ED on 1 occasion.

You and Mr. H’s PCP agree this is “pseudo-addiction” but want to watch Mr. H more closely and look for ways to coordinate his care. The PCP agrees to implement a prescribing agreement, start drug testing (including for the prescribed opioids), and reassess maximizing Mr. H’s function and pain management while you address his combined pain, depression, insomnia, and tobacco use.

 

 

Related Resources

 

  • Ries RK, Fiellin D, Miller SC, et al, eds. Principles of addiction medicine. 4th ed. Hagerstown, MD: Lippincott Williams & Wilkins; 2009.
  • Department of Veterans Affairs. Department of Defense. VA/DoD clinical practice guideline for management of opioid therapy for chronic pain. Appendix C: sample opioid pain care agreement. http://www.healthquality.va.gov/COT_312_Full-er.pdf. Published May 2010. Accessed June 21, 2012.
  • Weaver M, Schnoll S. Addiction issues in prescribing opioids for chronic non-malignant pain. J Addiction Med. 2007;1(1):2-10.
  • Weaver M, Heit HA, Savage S, et al. Clinical case discussion: chronic pain management. J Addiction Med. 2007;1(1):11-14.

Drug Brand Names

 

  • Buprenorphine • Subutex
  • Buprenorphine/naloxone • Suboxone
  • Codeine • Tylenol with codeine, others
  • Fentanyl • Duragesic, Actiq
  • Hydrocodone • Lortab, Vicodin, others
  • Methadone • Dolophine, Methadose
  • Morphine • Roxanol
  • Naltrexone extended-release • Vivitrol
  • Oxycodone • OxyContin, Roxicodone

Disclosures

The authors report no financial relationship with any company whose products are mentioned in this article or with manufacturers of competing products.

Dr. Frankowski’s time toward this project was provided by the American Board of Addiction Medicine-accredited Cincinnati VA Addiction Medicine Research Fellowship, affiliated with the CeTREAD, Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH.

The statements in this publication do not necessarily reflect the views or opinions of the Department of Veterans Affairs.

Acknowledgement

The authors thank Catherine Constance and Sandra Mason at the Cincinnati VA Medical Center for their administrative assistance.

References

 

1. U.S. Department of Health and Human Services. Substance Abuse and Mental Health Services Administration. Office of Applied Studies. Results from the 2009 national survey on drug use and health: volume I. http://www.samhsa.gov/data/NSDUH/2k9NSDUH/2k9Results.htm. Accessed June 20, 2012.

2. Warner M, Chen LH, Makuc DM, et al. Drug poisoning deaths in the United States, 1980-2008. http://www.cdc.gov/nchs/data/databriefs/db81.htm. Published December 2011. Accessed June 20, 2012.

3. Centers for Disease Control and Prevention (CDC). Emergency department visits involving nonmedical use of selected prescription drugs - United States 2004-2008. MMWR Morb Mortal Wkly Rep. 2010;59(23):705-709.

4. Weaver M, Schnoll S. Addiction issues in prescribing opioids for chronic nonmalignant pain. J Addict Med. 2007;1(1):2-10.

5. American Psychiatric Association. R 19 opioid use disorder. http://www.dsm5.org/ProposedRevisions/Pages/proposedrevision.aspx?rid=460. Updated April 30 2012. Accessed June 20, 2012.

6. Savage SR, Horvath R. Opioid therapy of pain. In: Ries RK Fiellin DA, Miller SC, et al, eds. Principles of addiction medicine. 4th ed. Hagerstown, MD: Lippincott Williams & Wilkins; 2009:1329-1351.

7. Fishbain DA, Cole B, Lewis J, et al. What percentage of chronic nonmalignant pain patients exposed to chronic opioid analgesic therapy develop abuse/addiction and/or aberrant drug-related behaviors? A structured evidence-based review. Pain Med. 2008;9(4):444-459.

8. Gourlay DL, Heit HA. Pain and addiction: managing risk through comprehensive care. J Addict Dis. 2008;27(3):23-30.

9. Boscarino JA, Rukstalis MR, Hoffman SN, et al. Prevalence of prescription opioid-use disorder among chronic pain patients: comparison of the DSM-5 vs. DSM-4 diagnostic criteria. J Addict Dis. 2011;30(3):185-194.

10. Starrels JL, Becker WC, Weiner MG, et al. Low use of opioid risk reduction strategies in primary care even for high risk patients with chronic pain. J Gen Intern Med. 2011;26(9):958-964.

11. Miller NS. Failure of enforcement controlled substance laws in health policy for prescribing opiate medications: a painful assessment of morbidity and mortality. Am J Ther. 2006;13(6):527-533.

12. Turk DC, Swanson KS, Gatchel RJ. Predicting opioid misuse by chronic pain patients: a systematic review and literature synthesis. Clin J Pain. 2008;24(6):497-508.

13. Miller NS, Greenfeld A. Patient characteristics and risks factors for development of dependence on hydrocodone and oxycodone. Am J Ther. 2004;11(1):26-32.

14. Butler SF, Budman SH, Fernandez KC, et al. Cross-validation of a Screener to Predict Opioid Misuse in Chronic Pain Patients (SOAPP-R). J Addict Med. 2009;3(2):66-73.

15. Passik SD, Kirsh KL, Casper D. Addiction-related assessment tools and pain management: instruments for screening treatment planning, and monitoring compliance. Pain Med. 2008;9(suppl 2):S145-S166.

16. Chou R, Fanciullo GJ, Fine PG, et al. Opioids for chronic noncancer pain: prediction and identification of aberrant drug-related behaviors: a review of the evidence for an American Pain Society and American Academy of Pain Medicine clinical practice guideline. J Pain. 2009;10(2):131-146.

17. Alford DP, Liebschutz J, Jackson A, et al. Prescription drug abuse: an introduction. http://www.drugabuse.gov/sites/default/files/prescription-drug-abuse-alt.pdf. Published November 8, 2009. Accessed June 20, 2012.

18. Passik SD, Kirsh KL, Whitcomb L, et al. Monitoring outcomes during long-term opioid therapy for noncancer pain: results with the Pain Assessment and Documentation Tool. J Opioid Manag. 2005;1(5):257-266.

19. Webster LR, Webster RM. Predicting aberrant behaviors in opioid-treated patients: preliminary validation of the Opioid Risk Tool. Pain Med. 2005;6(6):432-442.

20. Passik SD. Pain management misstatements: ceiling effects red and yellow flags. Pain Med. 2006;7(1):76-77.

21. Diagnostic and statistical manual of mental disorders 4th ed text rev. Washington DC: American Psychiatric Association; 2000.

22. Mee-Lee D, Shulman GD, Fishman MJ, et al. eds. ASAM patient placement criteria for the treatment of substance-related disorders. 2nd ed. Chevy Chase, MD: American Society of Addiction Medicine, Inc.; 2001.

23. Banta-Green CJ, Maynard C, Koepsell TD, et al. Retention in methadone maintenance drug treatment for prescription-type opioid primary users compared to heroin users. Addiction. 2009;104(5):775-783.

24. Moore BA, Fiellin DA, Barry DT, et al. Primary care office-based buprenorphine treatment: comparison of heroin and prescription opioid dependent patients. J Gen Intern Med. 2007;22(4):527-530.

25. Weiss RD, Potter JS, Fiellin DA, et al. Adjunctive counseling during brief and extended buprenorphine-naloxone treatment for prescription opioid dependence: a 2-phase randomized controlled trial. Arch Gen Psychiatry. 2011;68(12):1238-1246.

26. U.S. Department of Health and Human Services (HHS). Substance Abuse and Mental Health Services Administration (SAMHSA). Office of Applied Studies. Treatment Episode Data Set (TEDS). 1998 - 2008. National Admissions to Substance Abuse Treatment Services, DASIS Series: S-50, HHS Publication No. (SMA) 09-4471. Rockville, MD; 2010.

27. Minozzi S, Amato L, Vecchi S, et al. Oral naltrexone maintenance treatment for opioid dependence. Cochrane Database Syst Rev. 2011;(4):CD001333.-

References

 

1. U.S. Department of Health and Human Services. Substance Abuse and Mental Health Services Administration. Office of Applied Studies. Results from the 2009 national survey on drug use and health: volume I. http://www.samhsa.gov/data/NSDUH/2k9NSDUH/2k9Results.htm. Accessed June 20, 2012.

2. Warner M, Chen LH, Makuc DM, et al. Drug poisoning deaths in the United States, 1980-2008. http://www.cdc.gov/nchs/data/databriefs/db81.htm. Published December 2011. Accessed June 20, 2012.

3. Centers for Disease Control and Prevention (CDC). Emergency department visits involving nonmedical use of selected prescription drugs - United States 2004-2008. MMWR Morb Mortal Wkly Rep. 2010;59(23):705-709.

4. Weaver M, Schnoll S. Addiction issues in prescribing opioids for chronic nonmalignant pain. J Addict Med. 2007;1(1):2-10.

5. American Psychiatric Association. R 19 opioid use disorder. http://www.dsm5.org/ProposedRevisions/Pages/proposedrevision.aspx?rid=460. Updated April 30 2012. Accessed June 20, 2012.

6. Savage SR, Horvath R. Opioid therapy of pain. In: Ries RK Fiellin DA, Miller SC, et al, eds. Principles of addiction medicine. 4th ed. Hagerstown, MD: Lippincott Williams & Wilkins; 2009:1329-1351.

7. Fishbain DA, Cole B, Lewis J, et al. What percentage of chronic nonmalignant pain patients exposed to chronic opioid analgesic therapy develop abuse/addiction and/or aberrant drug-related behaviors? A structured evidence-based review. Pain Med. 2008;9(4):444-459.

8. Gourlay DL, Heit HA. Pain and addiction: managing risk through comprehensive care. J Addict Dis. 2008;27(3):23-30.

9. Boscarino JA, Rukstalis MR, Hoffman SN, et al. Prevalence of prescription opioid-use disorder among chronic pain patients: comparison of the DSM-5 vs. DSM-4 diagnostic criteria. J Addict Dis. 2011;30(3):185-194.

10. Starrels JL, Becker WC, Weiner MG, et al. Low use of opioid risk reduction strategies in primary care even for high risk patients with chronic pain. J Gen Intern Med. 2011;26(9):958-964.

11. Miller NS. Failure of enforcement controlled substance laws in health policy for prescribing opiate medications: a painful assessment of morbidity and mortality. Am J Ther. 2006;13(6):527-533.

12. Turk DC, Swanson KS, Gatchel RJ. Predicting opioid misuse by chronic pain patients: a systematic review and literature synthesis. Clin J Pain. 2008;24(6):497-508.

13. Miller NS, Greenfeld A. Patient characteristics and risks factors for development of dependence on hydrocodone and oxycodone. Am J Ther. 2004;11(1):26-32.

14. Butler SF, Budman SH, Fernandez KC, et al. Cross-validation of a Screener to Predict Opioid Misuse in Chronic Pain Patients (SOAPP-R). J Addict Med. 2009;3(2):66-73.

15. Passik SD, Kirsh KL, Casper D. Addiction-related assessment tools and pain management: instruments for screening treatment planning, and monitoring compliance. Pain Med. 2008;9(suppl 2):S145-S166.

16. Chou R, Fanciullo GJ, Fine PG, et al. Opioids for chronic noncancer pain: prediction and identification of aberrant drug-related behaviors: a review of the evidence for an American Pain Society and American Academy of Pain Medicine clinical practice guideline. J Pain. 2009;10(2):131-146.

17. Alford DP, Liebschutz J, Jackson A, et al. Prescription drug abuse: an introduction. http://www.drugabuse.gov/sites/default/files/prescription-drug-abuse-alt.pdf. Published November 8, 2009. Accessed June 20, 2012.

18. Passik SD, Kirsh KL, Whitcomb L, et al. Monitoring outcomes during long-term opioid therapy for noncancer pain: results with the Pain Assessment and Documentation Tool. J Opioid Manag. 2005;1(5):257-266.

19. Webster LR, Webster RM. Predicting aberrant behaviors in opioid-treated patients: preliminary validation of the Opioid Risk Tool. Pain Med. 2005;6(6):432-442.

20. Passik SD. Pain management misstatements: ceiling effects red and yellow flags. Pain Med. 2006;7(1):76-77.

21. Diagnostic and statistical manual of mental disorders 4th ed text rev. Washington DC: American Psychiatric Association; 2000.

22. Mee-Lee D, Shulman GD, Fishman MJ, et al. eds. ASAM patient placement criteria for the treatment of substance-related disorders. 2nd ed. Chevy Chase, MD: American Society of Addiction Medicine, Inc.; 2001.

23. Banta-Green CJ, Maynard C, Koepsell TD, et al. Retention in methadone maintenance drug treatment for prescription-type opioid primary users compared to heroin users. Addiction. 2009;104(5):775-783.

24. Moore BA, Fiellin DA, Barry DT, et al. Primary care office-based buprenorphine treatment: comparison of heroin and prescription opioid dependent patients. J Gen Intern Med. 2007;22(4):527-530.

25. Weiss RD, Potter JS, Fiellin DA, et al. Adjunctive counseling during brief and extended buprenorphine-naloxone treatment for prescription opioid dependence: a 2-phase randomized controlled trial. Arch Gen Psychiatry. 2011;68(12):1238-1246.

26. U.S. Department of Health and Human Services (HHS). Substance Abuse and Mental Health Services Administration (SAMHSA). Office of Applied Studies. Treatment Episode Data Set (TEDS). 1998 - 2008. National Admissions to Substance Abuse Treatment Services, DASIS Series: S-50, HHS Publication No. (SMA) 09-4471. Rockville, MD; 2010.

27. Minozzi S, Amato L, Vecchi S, et al. Oral naltrexone maintenance treatment for opioid dependence. Cochrane Database Syst Rev. 2011;(4):CD001333.-

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Is quetiapine effective for anxiety?

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The rate of off-label prescribing of second-generation antipsychotics (SGAs) is estimated to have doubled in the past decade.1,2 In 2010, quetiapine was the most commonly used SGA in the United States with >10 million prescriptions dispensed.2 Clinical experience and reports from patients indicate quetiapine may be useful for treating anxiety. When making medication choices, it can be useful to combine anecdotal evidence with the facts (or lack thereof). Does evidence support or contradict the use of quetiapine for anxiety?

What the research shows

Quetiapine is FDA-approved for treating:

  • adults and adolescents with schizophrenia
  • adults, children, and adolescents with acute manic episodes associated with bipolar I disorder (BDI) as monotherapy or as an adjunct to lithium or divalproex
  • adults with an acute depressive episode associated with bipolar disorder
  • adjunctive treatment of major depressive disorder (MDD) in adults
  • maintenance treatment of BDI as an adjunct to lithium or divalproex in adults.3

In addition, quetiapine extended-release (XR) is approved as an adjunctive treatment for MDD in adults.4

Neither the immediate-release or XR formulation is indicated for treating anxiety, but quetiapine has been studied as a treatment for several anxiety disorders, including posttraumatic stress disorder, social phobia, obsessive-compulsive disorder, and anxiety secondary to mood disorders. It has been most extensively studied as treatment for generalized anxiety disorder (GAD).

Three trials that involved >2,100 patients found quetiapine XR monotherapy is effective for GAD in doses of 50 to 300 mg/d.5-7 In 2 of the studies, quetiapine XR was as effective as paroxetine and escitalopram for GAD.5,6 Reviews of off-label SGA use have found that compared with placebo, quetiapine XR monotherapy is effective for GAD (number needed to treat=8).8,9 Side effects reported in clinical trials of quetiapine included headache, somnolence, sedation, fatigue, dizziness, dry mouth, weight gain, hyperlipidemia, and elevated glucose levels.

What did the FDA say?

In April 2009, the FDA’s Psychopharmacologic Drugs Advisory Committee reviewed whether evidence supported quetiapine XR for treating MDD and GAD.10 Although the committee found that quetiapine XR monotherapy effectively treated GAD, it concluded it was not acceptably safe.11 The committee expressed concerns over exposing a greatly expanded population to a drug with substantial metabolic side effects, including weight gain (incidence 3% to 23%), increased cholesterol (incidence 7% to 18%), and hyperglycemia.12-14 Weight gain and metabolic effects have been reported even when quetiapine is prescribed at low doses (≤100 mg/d).15,16 The FDA did not approve expanding the indication of quetiapine XR to include treatment of GAD.

Our opinion

Quetiapine XR is effective for treating GAD. However, even at low doses, it is associated with substantial side effects and should be reserved for patients with poor response or contraindications (eg, mania) to traditional GAD treatments such as selective serotonin reuptake inhibitors and serotonin-norepinephrine reuptake inhibitors. Published studies assessed quetiapine XR only when used on a scheduled basis, and did not address use of quetiapine immediate release or XR on an as-needed basis for GAD.

Related Resources

Drug Brand Names

  • Divalproex • Depakote
  • Paroxetine • Paxil
  • Escitalopram • Lexapro
  • Quetiapine • Seroquel
  • Lithium • Eskalith, Lithobid

Disclosure

The authors report no financial relationship with any company whose products are mentioned in this article or with manufacturers of competing products.

References

1. Alexander GC, Gallagher SA, Mascola A, et al. Increasing off-label use of antipsychotic medications in the United States, 1995-2008. Pharmacoepidemiol Drug Saf. 2011;20(2):177-184.

2. Drug Topics. 2010 Top 200 branded drugs by total prescriptions. http://drugtopics.modernmedicine.com/drugtopics/data/articlestandard/drugtopics/252011/727256/article.pdf. Published June 2011. Accessed June 26 2012.

3. Seroquel [package insert]. Wilmington DE: AstraZeneca; 2012.

4. Seroquel XR [package insert]. Wilmington DE: AstraZeneca; 2012.

5. Merideth C, Cutler A, Neijber A, et al. Efficacy and tolerability of extended release quetiapine fumarate monotherapy in the treatment of GAD. Eur Neuropsychopharmacol. 2008;18(suppl 4):S499-S500.

6. Bandelow B, Chouinard G, Bobes J, et al. Extended-release quetiapine fumarate (quetiapine XR): a once-daily monotherapy effective in generalized anxiety disorder. Data from a randomized, double-blind, placebo- and active-controlled study. Int J Neuropsychopharmacol. 2010;13(3):305-320.

7. Katzman MA, Brawman-Mintzer O, Reyes EB, et al. Extended release quetiapine fumarate (quetiapine XR) monotherapy as maintenance treatment for generalized anxiety disorder: a long-term, randomized, placebo-controlled trial. Int Clin Psychopharmacol. 2011;26(1):11-24.

8. Maglione M, Ruelaz Maher A, Hu J, et al. Agency for Healthcare Research and Quality. Off-label use of atypical antipsychotics: an update. http://www.effectivehealthcare.ahrq.gov/ehc/products/150/786/CER43_Off-LabelAntipsychotics_execsumm_20110928.pdf. Published September 2011. Accessed June 26 2012.

9. Maher AR, Maglione M, Bagley S, et al. Efficacy and comparative effectiveness of atypical antipsychotic medications for off-label uses in adults: a systematic review and meta-analysis. JAMA. 2011;306(12):1359-1369.

10. U.S. Food and Drug Administration. Psychopharmacologic Drugs Advisory Committee meeting announcement. http://www.fda.gov/AdvisoryCommittees/Calendar/ucm136250.htm. Updated June 18, 2009. Accessed June 26, 2012.

11. FDA advisory committee recommendation on Seroquel XR supplemental new drug applications [news release]. Wilmington DE: AstraZeneca; April 9, 2009. http://www.astrazeneca.com/Media/Press-releases/Article/20090409—FDA-Advisory-Committee-Recommendation-on-Seroquel-XR-. Accessed June 26, 2012.

12. Meyer JM, Koro CE. The effects of antipsychotic therapy on serum lipids: a comprehensive review. Schizophr Res. 2004;70(1):1-17.

13. Newcomer JW. Metabolic considerations in the use of antipsychotic medications: a review of recent evidence. J Clin Psychiatry. 2007;68(suppl 1):20-27.

14. Chen WY, Chen CC, Hung GC. Hyperglycemic hyperosmolar state associated with low-dose quetiapine treatment in a patient with bipolar disorder. Curr Drug Saf. 2011;6(3):207-208.

15. Williams SG, Alinejad NA, Williams JA, et al. Statistically significant increase in weight caused by low-dose quetiapine. Pharmacotherapy. 2010;30(10):1011-1015.

16. Simon V, van Winkel R, De Hert M. Are weight gain and metabolic side effects of atypical antipsychotics dose dependent? A literature review. J Clin Psychiatry. 2009;70(7):1041-1050.

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Courtney Nemeth Wiseman, MD, MPH
Dr. Wiseman is Instructor, Clinical, Contributing Services Faculty, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL

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Courtney Nemeth Wiseman, MD, MPH
Dr. Wiseman is Instructor, Clinical, Contributing Services Faculty, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL

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Dr. Gören is Associate Professor, Department of Pharmacy Practice, University of Rhode Island, Kingston, RI; Senior Clinical Pharmacist Specialist, Department of Pharmacy, Cambridge Health Alliance; and Instructor in Psychiatry, Harvard Medical School, Boston, MA.
Courtney Nemeth Wiseman, MD, MPH
Dr. Wiseman is Instructor, Clinical, Contributing Services Faculty, Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL

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Discuss this article at www.facebook.com/CurrentPsychiatry

The rate of off-label prescribing of second-generation antipsychotics (SGAs) is estimated to have doubled in the past decade.1,2 In 2010, quetiapine was the most commonly used SGA in the United States with >10 million prescriptions dispensed.2 Clinical experience and reports from patients indicate quetiapine may be useful for treating anxiety. When making medication choices, it can be useful to combine anecdotal evidence with the facts (or lack thereof). Does evidence support or contradict the use of quetiapine for anxiety?

What the research shows

Quetiapine is FDA-approved for treating:

  • adults and adolescents with schizophrenia
  • adults, children, and adolescents with acute manic episodes associated with bipolar I disorder (BDI) as monotherapy or as an adjunct to lithium or divalproex
  • adults with an acute depressive episode associated with bipolar disorder
  • adjunctive treatment of major depressive disorder (MDD) in adults
  • maintenance treatment of BDI as an adjunct to lithium or divalproex in adults.3

In addition, quetiapine extended-release (XR) is approved as an adjunctive treatment for MDD in adults.4

Neither the immediate-release or XR formulation is indicated for treating anxiety, but quetiapine has been studied as a treatment for several anxiety disorders, including posttraumatic stress disorder, social phobia, obsessive-compulsive disorder, and anxiety secondary to mood disorders. It has been most extensively studied as treatment for generalized anxiety disorder (GAD).

Three trials that involved >2,100 patients found quetiapine XR monotherapy is effective for GAD in doses of 50 to 300 mg/d.5-7 In 2 of the studies, quetiapine XR was as effective as paroxetine and escitalopram for GAD.5,6 Reviews of off-label SGA use have found that compared with placebo, quetiapine XR monotherapy is effective for GAD (number needed to treat=8).8,9 Side effects reported in clinical trials of quetiapine included headache, somnolence, sedation, fatigue, dizziness, dry mouth, weight gain, hyperlipidemia, and elevated glucose levels.

What did the FDA say?

In April 2009, the FDA’s Psychopharmacologic Drugs Advisory Committee reviewed whether evidence supported quetiapine XR for treating MDD and GAD.10 Although the committee found that quetiapine XR monotherapy effectively treated GAD, it concluded it was not acceptably safe.11 The committee expressed concerns over exposing a greatly expanded population to a drug with substantial metabolic side effects, including weight gain (incidence 3% to 23%), increased cholesterol (incidence 7% to 18%), and hyperglycemia.12-14 Weight gain and metabolic effects have been reported even when quetiapine is prescribed at low doses (≤100 mg/d).15,16 The FDA did not approve expanding the indication of quetiapine XR to include treatment of GAD.

Our opinion

Quetiapine XR is effective for treating GAD. However, even at low doses, it is associated with substantial side effects and should be reserved for patients with poor response or contraindications (eg, mania) to traditional GAD treatments such as selective serotonin reuptake inhibitors and serotonin-norepinephrine reuptake inhibitors. Published studies assessed quetiapine XR only when used on a scheduled basis, and did not address use of quetiapine immediate release or XR on an as-needed basis for GAD.

Related Resources

Drug Brand Names

  • Divalproex • Depakote
  • Paroxetine • Paxil
  • Escitalopram • Lexapro
  • Quetiapine • Seroquel
  • Lithium • Eskalith, Lithobid

Disclosure

The authors report no financial relationship with any company whose products are mentioned in this article or with manufacturers of competing products.

Discuss this article at www.facebook.com/CurrentPsychiatry

The rate of off-label prescribing of second-generation antipsychotics (SGAs) is estimated to have doubled in the past decade.1,2 In 2010, quetiapine was the most commonly used SGA in the United States with >10 million prescriptions dispensed.2 Clinical experience and reports from patients indicate quetiapine may be useful for treating anxiety. When making medication choices, it can be useful to combine anecdotal evidence with the facts (or lack thereof). Does evidence support or contradict the use of quetiapine for anxiety?

What the research shows

Quetiapine is FDA-approved for treating:

  • adults and adolescents with schizophrenia
  • adults, children, and adolescents with acute manic episodes associated with bipolar I disorder (BDI) as monotherapy or as an adjunct to lithium or divalproex
  • adults with an acute depressive episode associated with bipolar disorder
  • adjunctive treatment of major depressive disorder (MDD) in adults
  • maintenance treatment of BDI as an adjunct to lithium or divalproex in adults.3

In addition, quetiapine extended-release (XR) is approved as an adjunctive treatment for MDD in adults.4

Neither the immediate-release or XR formulation is indicated for treating anxiety, but quetiapine has been studied as a treatment for several anxiety disorders, including posttraumatic stress disorder, social phobia, obsessive-compulsive disorder, and anxiety secondary to mood disorders. It has been most extensively studied as treatment for generalized anxiety disorder (GAD).

Three trials that involved >2,100 patients found quetiapine XR monotherapy is effective for GAD in doses of 50 to 300 mg/d.5-7 In 2 of the studies, quetiapine XR was as effective as paroxetine and escitalopram for GAD.5,6 Reviews of off-label SGA use have found that compared with placebo, quetiapine XR monotherapy is effective for GAD (number needed to treat=8).8,9 Side effects reported in clinical trials of quetiapine included headache, somnolence, sedation, fatigue, dizziness, dry mouth, weight gain, hyperlipidemia, and elevated glucose levels.

What did the FDA say?

In April 2009, the FDA’s Psychopharmacologic Drugs Advisory Committee reviewed whether evidence supported quetiapine XR for treating MDD and GAD.10 Although the committee found that quetiapine XR monotherapy effectively treated GAD, it concluded it was not acceptably safe.11 The committee expressed concerns over exposing a greatly expanded population to a drug with substantial metabolic side effects, including weight gain (incidence 3% to 23%), increased cholesterol (incidence 7% to 18%), and hyperglycemia.12-14 Weight gain and metabolic effects have been reported even when quetiapine is prescribed at low doses (≤100 mg/d).15,16 The FDA did not approve expanding the indication of quetiapine XR to include treatment of GAD.

Our opinion

Quetiapine XR is effective for treating GAD. However, even at low doses, it is associated with substantial side effects and should be reserved for patients with poor response or contraindications (eg, mania) to traditional GAD treatments such as selective serotonin reuptake inhibitors and serotonin-norepinephrine reuptake inhibitors. Published studies assessed quetiapine XR only when used on a scheduled basis, and did not address use of quetiapine immediate release or XR on an as-needed basis for GAD.

Related Resources

Drug Brand Names

  • Divalproex • Depakote
  • Paroxetine • Paxil
  • Escitalopram • Lexapro
  • Quetiapine • Seroquel
  • Lithium • Eskalith, Lithobid

Disclosure

The authors report no financial relationship with any company whose products are mentioned in this article or with manufacturers of competing products.

References

1. Alexander GC, Gallagher SA, Mascola A, et al. Increasing off-label use of antipsychotic medications in the United States, 1995-2008. Pharmacoepidemiol Drug Saf. 2011;20(2):177-184.

2. Drug Topics. 2010 Top 200 branded drugs by total prescriptions. http://drugtopics.modernmedicine.com/drugtopics/data/articlestandard/drugtopics/252011/727256/article.pdf. Published June 2011. Accessed June 26 2012.

3. Seroquel [package insert]. Wilmington DE: AstraZeneca; 2012.

4. Seroquel XR [package insert]. Wilmington DE: AstraZeneca; 2012.

5. Merideth C, Cutler A, Neijber A, et al. Efficacy and tolerability of extended release quetiapine fumarate monotherapy in the treatment of GAD. Eur Neuropsychopharmacol. 2008;18(suppl 4):S499-S500.

6. Bandelow B, Chouinard G, Bobes J, et al. Extended-release quetiapine fumarate (quetiapine XR): a once-daily monotherapy effective in generalized anxiety disorder. Data from a randomized, double-blind, placebo- and active-controlled study. Int J Neuropsychopharmacol. 2010;13(3):305-320.

7. Katzman MA, Brawman-Mintzer O, Reyes EB, et al. Extended release quetiapine fumarate (quetiapine XR) monotherapy as maintenance treatment for generalized anxiety disorder: a long-term, randomized, placebo-controlled trial. Int Clin Psychopharmacol. 2011;26(1):11-24.

8. Maglione M, Ruelaz Maher A, Hu J, et al. Agency for Healthcare Research and Quality. Off-label use of atypical antipsychotics: an update. http://www.effectivehealthcare.ahrq.gov/ehc/products/150/786/CER43_Off-LabelAntipsychotics_execsumm_20110928.pdf. Published September 2011. Accessed June 26 2012.

9. Maher AR, Maglione M, Bagley S, et al. Efficacy and comparative effectiveness of atypical antipsychotic medications for off-label uses in adults: a systematic review and meta-analysis. JAMA. 2011;306(12):1359-1369.

10. U.S. Food and Drug Administration. Psychopharmacologic Drugs Advisory Committee meeting announcement. http://www.fda.gov/AdvisoryCommittees/Calendar/ucm136250.htm. Updated June 18, 2009. Accessed June 26, 2012.

11. FDA advisory committee recommendation on Seroquel XR supplemental new drug applications [news release]. Wilmington DE: AstraZeneca; April 9, 2009. http://www.astrazeneca.com/Media/Press-releases/Article/20090409—FDA-Advisory-Committee-Recommendation-on-Seroquel-XR-. Accessed June 26, 2012.

12. Meyer JM, Koro CE. The effects of antipsychotic therapy on serum lipids: a comprehensive review. Schizophr Res. 2004;70(1):1-17.

13. Newcomer JW. Metabolic considerations in the use of antipsychotic medications: a review of recent evidence. J Clin Psychiatry. 2007;68(suppl 1):20-27.

14. Chen WY, Chen CC, Hung GC. Hyperglycemic hyperosmolar state associated with low-dose quetiapine treatment in a patient with bipolar disorder. Curr Drug Saf. 2011;6(3):207-208.

15. Williams SG, Alinejad NA, Williams JA, et al. Statistically significant increase in weight caused by low-dose quetiapine. Pharmacotherapy. 2010;30(10):1011-1015.

16. Simon V, van Winkel R, De Hert M. Are weight gain and metabolic side effects of atypical antipsychotics dose dependent? A literature review. J Clin Psychiatry. 2009;70(7):1041-1050.

References

1. Alexander GC, Gallagher SA, Mascola A, et al. Increasing off-label use of antipsychotic medications in the United States, 1995-2008. Pharmacoepidemiol Drug Saf. 2011;20(2):177-184.

2. Drug Topics. 2010 Top 200 branded drugs by total prescriptions. http://drugtopics.modernmedicine.com/drugtopics/data/articlestandard/drugtopics/252011/727256/article.pdf. Published June 2011. Accessed June 26 2012.

3. Seroquel [package insert]. Wilmington DE: AstraZeneca; 2012.

4. Seroquel XR [package insert]. Wilmington DE: AstraZeneca; 2012.

5. Merideth C, Cutler A, Neijber A, et al. Efficacy and tolerability of extended release quetiapine fumarate monotherapy in the treatment of GAD. Eur Neuropsychopharmacol. 2008;18(suppl 4):S499-S500.

6. Bandelow B, Chouinard G, Bobes J, et al. Extended-release quetiapine fumarate (quetiapine XR): a once-daily monotherapy effective in generalized anxiety disorder. Data from a randomized, double-blind, placebo- and active-controlled study. Int J Neuropsychopharmacol. 2010;13(3):305-320.

7. Katzman MA, Brawman-Mintzer O, Reyes EB, et al. Extended release quetiapine fumarate (quetiapine XR) monotherapy as maintenance treatment for generalized anxiety disorder: a long-term, randomized, placebo-controlled trial. Int Clin Psychopharmacol. 2011;26(1):11-24.

8. Maglione M, Ruelaz Maher A, Hu J, et al. Agency for Healthcare Research and Quality. Off-label use of atypical antipsychotics: an update. http://www.effectivehealthcare.ahrq.gov/ehc/products/150/786/CER43_Off-LabelAntipsychotics_execsumm_20110928.pdf. Published September 2011. Accessed June 26 2012.

9. Maher AR, Maglione M, Bagley S, et al. Efficacy and comparative effectiveness of atypical antipsychotic medications for off-label uses in adults: a systematic review and meta-analysis. JAMA. 2011;306(12):1359-1369.

10. U.S. Food and Drug Administration. Psychopharmacologic Drugs Advisory Committee meeting announcement. http://www.fda.gov/AdvisoryCommittees/Calendar/ucm136250.htm. Updated June 18, 2009. Accessed June 26, 2012.

11. FDA advisory committee recommendation on Seroquel XR supplemental new drug applications [news release]. Wilmington DE: AstraZeneca; April 9, 2009. http://www.astrazeneca.com/Media/Press-releases/Article/20090409—FDA-Advisory-Committee-Recommendation-on-Seroquel-XR-. Accessed June 26, 2012.

12. Meyer JM, Koro CE. The effects of antipsychotic therapy on serum lipids: a comprehensive review. Schizophr Res. 2004;70(1):1-17.

13. Newcomer JW. Metabolic considerations in the use of antipsychotic medications: a review of recent evidence. J Clin Psychiatry. 2007;68(suppl 1):20-27.

14. Chen WY, Chen CC, Hung GC. Hyperglycemic hyperosmolar state associated with low-dose quetiapine treatment in a patient with bipolar disorder. Curr Drug Saf. 2011;6(3):207-208.

15. Williams SG, Alinejad NA, Williams JA, et al. Statistically significant increase in weight caused by low-dose quetiapine. Pharmacotherapy. 2010;30(10):1011-1015.

16. Simon V, van Winkel R, De Hert M. Are weight gain and metabolic side effects of atypical antipsychotics dose dependent? A literature review. J Clin Psychiatry. 2009;70(7):1041-1050.

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Impaired mental proprioception in schizophrenia

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Impaired mental proprioception in schizophrenia

Psychiatrists recognize that schizophrenia is a disorder in which the highest mental functions, such as thought, language, emotions, conation, and cognition, are drastically disrupted. However, the most serious impairment in schizophrenia is a global malfunction in self-integration and personal identity that includes a deficit in self-recognition.

This distorted sense of self leads persons with schizophrenia to fail to recognize what is or is not part of their own mind, which can produce clinical symptoms of schizophrenia, including bizarre delusions, hallucinations, thought disorder, social deficits, and information processing.1

Just as intact physical proprioception enables a healthy person to be continuously aware of where his body and its parts are located in space, allowing sensory-motor integration, mental proprioception enables one to be fully aware of his identity and self-boundaries, and that his thoughts and actions are generated from within his own sphere of consciousness, not from an external source. In schizophrenia, the coherent sense of self is shattered and fragmented, a frightening experience patients describe after emerging from psychosis.2 A person affected by schizophrenia feels lost, as if his “self no longer belong[s]” to him. He feels alienated from his “real self” and refers to himself in the third person. He feels “disconnected, disintegrated, and diminished,” with a sense of “emptiness, a painful void of existence,” of being disembodied with no clear demarcation between self and others.2

Not surprisingly, false beliefs (delusions) and perceptual aberrations (hallucinations) emerge from a fragmented sense of self. Patients fail to recognize that their actions, thoughts, or feelings are initiated from within the self, leading to delusions of passivity and being controlled by an outside force. One’s impulses are misperceived as being imposed by an alien. One’s thoughts, fantasies, and memories become external hallucinations instead of internal recollections. It is not surprising that depersonalization and derealization are common in schizophrenia and in the prodrome stage. Phencyclidine and ketamine, which can produce schizophrenia-like psychoses, are known to trigger dissociative phenomena and a loss of a coherent sense of self.

What causes the disintegration of the mind (self) in schizophrenia? The leading neurobiologic explanation is well-documented white matter pathology.3 Numerous studies have demonstrated that the myelinated axons and fibers that connect various brain regions are abnormal in patients with schizophrenia. The evidence for the breakdown of white matter—and, consequently, brain connectedness and integration—includes several lines of evidence, such as: a) in vivo neuroimaging studies using diffusion tensor imaging (DTI) that show abnormal water mobility in the myelin; b) genetic aberrations in myelin genes; c) postmortem evidence of reduced oligodendrocytes, the glial cells that manufacture myelin; and d) biochemical markers such as the calcium-binding protein S100B, which is released by compromised glial cells.3

Therefore, it is reasonable to think that the disruption of the sense of self and its proprioception may be due to the extensive disconnectivity of brain regions caused by myelin pathology.4 However, grey matter abnormality also may play a role in loss of mental proprioceptive functions, which causes a failure to properly recognize one’s self. The inferior parietal cortex, which controls body image, concept of self, sensory integration, and executive function, has been reported to be structurally impaired in patients with schizophrenia.5 Damage to the parietal cortex can alter awareness in healthy persons that they are initiating a voluntary action as they do it.6 Furthermore, refractory auditory hallucinations can be suppressed with repetitive transcranial magnetic stimulation (rTMS) or with transcranial direct current stimulation (tDCS) over the left parietotemporal area.7

More than 25 years ago, I published a hypothesis8 postulating that the delusions of passivity and external control may be caused by an abnormality in the corpus callosum—the largest white matter bundle in the brain, comprised of approximately 200 million myelinated fibers connecting homologous regions in the left and right cerebral hemispheres. I proposed that failed inter- hemispheric connectivity across the corpus callosum would disrupt the unified sense of self that integrates the 2 hemispheres, each of which has its own sphere of consciousness, producing hallucinations and delusions of alien control. The discovery of multiple white matter abnormalities over the past decade and acceptance of disconnectivity in schizophrenia confirms the model I proposed in 1985 as a possible mechanism for schizophrenia.9

Finally, it is interesting that DSM-IV-TR does not contain any reference to self disorder or fragmentation in schizophrenia, and diagnostic criteria do not include any reference to loss of self-identity in schizophrenia despite the extensive literature. The term “self” does not even appear in the index. Perhaps now is an opportune time to incorporate this new knowledge in DSM-5 and even consider a new name for schizophrenia. How about “self-proprioception disorder”?

References

 

1. Hemsley DR. The disruption of the “sense of self” in schizophrenia: potential links with disturbances of information processing. Br J Med Psychol. 1998;71(Pt 2):115-124.

2. Kean C. Silencing the self: schizophrenia as a self-disturbance. Schizophr Bull. 2009;35(6):1034-1036.

3. Bernsein HG, Steiner J, Bogerts B. Glial cells in schizophrenia. Pathophysiological significance and possible consequences for therapy. Expert Rev Neurother. 2009;9(7):1059-1071.

4. Sim K, Yang GL, Loh D, et al. White matter abnormalities and neurocognitive deficits associated with the passivity phenomenon in schizophrenia: a diffusion tensor imaging study. Psychiatr Res. 2009;172(2):121-127.

5. Torrey EF. Schizophrenia and the inferior parietal lobule. Schizophr Res. 2007;97(1-3):215-225.

6. Sirigu A, Dapratil E, Ciancia S, et al. Altered awareness of voluntary action after damage to the parietal cortex. Nat Neurosci. 2004;7(1):80-84.

7. Brunelin J, Mondino M, Gassab L, et al. Examining transcranial direct current stimulation (tDCS) as a treatment for hallucinations in schizophrenia. Am J Psychiatry. 2012;169:719-724.

8. Nasrallah HA. The unintegrated right hemispheric consciousness as alien intruder: a possible mechanism for Schneiderian delusions in schizophrenia. Compr Psychiatry. 1985;26(3):273-282.

9. Nasrallah H, Smeltzer DJ. Contemporary diagnosis and management of schizophrenia. Newtown PA: Associates in Medical Marketing Company, Inc; 2011.

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Psychiatrists recognize that schizophrenia is a disorder in which the highest mental functions, such as thought, language, emotions, conation, and cognition, are drastically disrupted. However, the most serious impairment in schizophrenia is a global malfunction in self-integration and personal identity that includes a deficit in self-recognition.

This distorted sense of self leads persons with schizophrenia to fail to recognize what is or is not part of their own mind, which can produce clinical symptoms of schizophrenia, including bizarre delusions, hallucinations, thought disorder, social deficits, and information processing.1

Just as intact physical proprioception enables a healthy person to be continuously aware of where his body and its parts are located in space, allowing sensory-motor integration, mental proprioception enables one to be fully aware of his identity and self-boundaries, and that his thoughts and actions are generated from within his own sphere of consciousness, not from an external source. In schizophrenia, the coherent sense of self is shattered and fragmented, a frightening experience patients describe after emerging from psychosis.2 A person affected by schizophrenia feels lost, as if his “self no longer belong[s]” to him. He feels alienated from his “real self” and refers to himself in the third person. He feels “disconnected, disintegrated, and diminished,” with a sense of “emptiness, a painful void of existence,” of being disembodied with no clear demarcation between self and others.2

Not surprisingly, false beliefs (delusions) and perceptual aberrations (hallucinations) emerge from a fragmented sense of self. Patients fail to recognize that their actions, thoughts, or feelings are initiated from within the self, leading to delusions of passivity and being controlled by an outside force. One’s impulses are misperceived as being imposed by an alien. One’s thoughts, fantasies, and memories become external hallucinations instead of internal recollections. It is not surprising that depersonalization and derealization are common in schizophrenia and in the prodrome stage. Phencyclidine and ketamine, which can produce schizophrenia-like psychoses, are known to trigger dissociative phenomena and a loss of a coherent sense of self.

What causes the disintegration of the mind (self) in schizophrenia? The leading neurobiologic explanation is well-documented white matter pathology.3 Numerous studies have demonstrated that the myelinated axons and fibers that connect various brain regions are abnormal in patients with schizophrenia. The evidence for the breakdown of white matter—and, consequently, brain connectedness and integration—includes several lines of evidence, such as: a) in vivo neuroimaging studies using diffusion tensor imaging (DTI) that show abnormal water mobility in the myelin; b) genetic aberrations in myelin genes; c) postmortem evidence of reduced oligodendrocytes, the glial cells that manufacture myelin; and d) biochemical markers such as the calcium-binding protein S100B, which is released by compromised glial cells.3

Therefore, it is reasonable to think that the disruption of the sense of self and its proprioception may be due to the extensive disconnectivity of brain regions caused by myelin pathology.4 However, grey matter abnormality also may play a role in loss of mental proprioceptive functions, which causes a failure to properly recognize one’s self. The inferior parietal cortex, which controls body image, concept of self, sensory integration, and executive function, has been reported to be structurally impaired in patients with schizophrenia.5 Damage to the parietal cortex can alter awareness in healthy persons that they are initiating a voluntary action as they do it.6 Furthermore, refractory auditory hallucinations can be suppressed with repetitive transcranial magnetic stimulation (rTMS) or with transcranial direct current stimulation (tDCS) over the left parietotemporal area.7

More than 25 years ago, I published a hypothesis8 postulating that the delusions of passivity and external control may be caused by an abnormality in the corpus callosum—the largest white matter bundle in the brain, comprised of approximately 200 million myelinated fibers connecting homologous regions in the left and right cerebral hemispheres. I proposed that failed inter- hemispheric connectivity across the corpus callosum would disrupt the unified sense of self that integrates the 2 hemispheres, each of which has its own sphere of consciousness, producing hallucinations and delusions of alien control. The discovery of multiple white matter abnormalities over the past decade and acceptance of disconnectivity in schizophrenia confirms the model I proposed in 1985 as a possible mechanism for schizophrenia.9

Finally, it is interesting that DSM-IV-TR does not contain any reference to self disorder or fragmentation in schizophrenia, and diagnostic criteria do not include any reference to loss of self-identity in schizophrenia despite the extensive literature. The term “self” does not even appear in the index. Perhaps now is an opportune time to incorporate this new knowledge in DSM-5 and even consider a new name for schizophrenia. How about “self-proprioception disorder”?

Psychiatrists recognize that schizophrenia is a disorder in which the highest mental functions, such as thought, language, emotions, conation, and cognition, are drastically disrupted. However, the most serious impairment in schizophrenia is a global malfunction in self-integration and personal identity that includes a deficit in self-recognition.

This distorted sense of self leads persons with schizophrenia to fail to recognize what is or is not part of their own mind, which can produce clinical symptoms of schizophrenia, including bizarre delusions, hallucinations, thought disorder, social deficits, and information processing.1

Just as intact physical proprioception enables a healthy person to be continuously aware of where his body and its parts are located in space, allowing sensory-motor integration, mental proprioception enables one to be fully aware of his identity and self-boundaries, and that his thoughts and actions are generated from within his own sphere of consciousness, not from an external source. In schizophrenia, the coherent sense of self is shattered and fragmented, a frightening experience patients describe after emerging from psychosis.2 A person affected by schizophrenia feels lost, as if his “self no longer belong[s]” to him. He feels alienated from his “real self” and refers to himself in the third person. He feels “disconnected, disintegrated, and diminished,” with a sense of “emptiness, a painful void of existence,” of being disembodied with no clear demarcation between self and others.2

Not surprisingly, false beliefs (delusions) and perceptual aberrations (hallucinations) emerge from a fragmented sense of self. Patients fail to recognize that their actions, thoughts, or feelings are initiated from within the self, leading to delusions of passivity and being controlled by an outside force. One’s impulses are misperceived as being imposed by an alien. One’s thoughts, fantasies, and memories become external hallucinations instead of internal recollections. It is not surprising that depersonalization and derealization are common in schizophrenia and in the prodrome stage. Phencyclidine and ketamine, which can produce schizophrenia-like psychoses, are known to trigger dissociative phenomena and a loss of a coherent sense of self.

What causes the disintegration of the mind (self) in schizophrenia? The leading neurobiologic explanation is well-documented white matter pathology.3 Numerous studies have demonstrated that the myelinated axons and fibers that connect various brain regions are abnormal in patients with schizophrenia. The evidence for the breakdown of white matter—and, consequently, brain connectedness and integration—includes several lines of evidence, such as: a) in vivo neuroimaging studies using diffusion tensor imaging (DTI) that show abnormal water mobility in the myelin; b) genetic aberrations in myelin genes; c) postmortem evidence of reduced oligodendrocytes, the glial cells that manufacture myelin; and d) biochemical markers such as the calcium-binding protein S100B, which is released by compromised glial cells.3

Therefore, it is reasonable to think that the disruption of the sense of self and its proprioception may be due to the extensive disconnectivity of brain regions caused by myelin pathology.4 However, grey matter abnormality also may play a role in loss of mental proprioceptive functions, which causes a failure to properly recognize one’s self. The inferior parietal cortex, which controls body image, concept of self, sensory integration, and executive function, has been reported to be structurally impaired in patients with schizophrenia.5 Damage to the parietal cortex can alter awareness in healthy persons that they are initiating a voluntary action as they do it.6 Furthermore, refractory auditory hallucinations can be suppressed with repetitive transcranial magnetic stimulation (rTMS) or with transcranial direct current stimulation (tDCS) over the left parietotemporal area.7

More than 25 years ago, I published a hypothesis8 postulating that the delusions of passivity and external control may be caused by an abnormality in the corpus callosum—the largest white matter bundle in the brain, comprised of approximately 200 million myelinated fibers connecting homologous regions in the left and right cerebral hemispheres. I proposed that failed inter- hemispheric connectivity across the corpus callosum would disrupt the unified sense of self that integrates the 2 hemispheres, each of which has its own sphere of consciousness, producing hallucinations and delusions of alien control. The discovery of multiple white matter abnormalities over the past decade and acceptance of disconnectivity in schizophrenia confirms the model I proposed in 1985 as a possible mechanism for schizophrenia.9

Finally, it is interesting that DSM-IV-TR does not contain any reference to self disorder or fragmentation in schizophrenia, and diagnostic criteria do not include any reference to loss of self-identity in schizophrenia despite the extensive literature. The term “self” does not even appear in the index. Perhaps now is an opportune time to incorporate this new knowledge in DSM-5 and even consider a new name for schizophrenia. How about “self-proprioception disorder”?

References

 

1. Hemsley DR. The disruption of the “sense of self” in schizophrenia: potential links with disturbances of information processing. Br J Med Psychol. 1998;71(Pt 2):115-124.

2. Kean C. Silencing the self: schizophrenia as a self-disturbance. Schizophr Bull. 2009;35(6):1034-1036.

3. Bernsein HG, Steiner J, Bogerts B. Glial cells in schizophrenia. Pathophysiological significance and possible consequences for therapy. Expert Rev Neurother. 2009;9(7):1059-1071.

4. Sim K, Yang GL, Loh D, et al. White matter abnormalities and neurocognitive deficits associated with the passivity phenomenon in schizophrenia: a diffusion tensor imaging study. Psychiatr Res. 2009;172(2):121-127.

5. Torrey EF. Schizophrenia and the inferior parietal lobule. Schizophr Res. 2007;97(1-3):215-225.

6. Sirigu A, Dapratil E, Ciancia S, et al. Altered awareness of voluntary action after damage to the parietal cortex. Nat Neurosci. 2004;7(1):80-84.

7. Brunelin J, Mondino M, Gassab L, et al. Examining transcranial direct current stimulation (tDCS) as a treatment for hallucinations in schizophrenia. Am J Psychiatry. 2012;169:719-724.

8. Nasrallah HA. The unintegrated right hemispheric consciousness as alien intruder: a possible mechanism for Schneiderian delusions in schizophrenia. Compr Psychiatry. 1985;26(3):273-282.

9. Nasrallah H, Smeltzer DJ. Contemporary diagnosis and management of schizophrenia. Newtown PA: Associates in Medical Marketing Company, Inc; 2011.

References

 

1. Hemsley DR. The disruption of the “sense of self” in schizophrenia: potential links with disturbances of information processing. Br J Med Psychol. 1998;71(Pt 2):115-124.

2. Kean C. Silencing the self: schizophrenia as a self-disturbance. Schizophr Bull. 2009;35(6):1034-1036.

3. Bernsein HG, Steiner J, Bogerts B. Glial cells in schizophrenia. Pathophysiological significance and possible consequences for therapy. Expert Rev Neurother. 2009;9(7):1059-1071.

4. Sim K, Yang GL, Loh D, et al. White matter abnormalities and neurocognitive deficits associated with the passivity phenomenon in schizophrenia: a diffusion tensor imaging study. Psychiatr Res. 2009;172(2):121-127.

5. Torrey EF. Schizophrenia and the inferior parietal lobule. Schizophr Res. 2007;97(1-3):215-225.

6. Sirigu A, Dapratil E, Ciancia S, et al. Altered awareness of voluntary action after damage to the parietal cortex. Nat Neurosci. 2004;7(1):80-84.

7. Brunelin J, Mondino M, Gassab L, et al. Examining transcranial direct current stimulation (tDCS) as a treatment for hallucinations in schizophrenia. Am J Psychiatry. 2012;169:719-724.

8. Nasrallah HA. The unintegrated right hemispheric consciousness as alien intruder: a possible mechanism for Schneiderian delusions in schizophrenia. Compr Psychiatry. 1985;26(3):273-282.

9. Nasrallah H, Smeltzer DJ. Contemporary diagnosis and management of schizophrenia. Newtown PA: Associates in Medical Marketing Company, Inc; 2011.

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Although the title of April’s cover story (“Benzodiazepines: A versatile clinical tool,” Current Psychiatry, April 2012, p. 54-63; http://bit.ly/1zkanU3) seems to encourage the use of benzodiazepines, the authors state benzodiazepines are second-or third-line treatments for most conditions, particularly for chronic problems.

As an addiction medicine physician, I see well-intentioned doctors prescribing benzodiazepines to patients with chronic ailments. I would like to emphasize the addictive nature of benzodiazepines. “When used appropriately” is contradictory if benzodiazepines are used daily. Tolerance manifests as an exacerbation of the original symptoms, usually leading to a dosage increase. Every day, I see patients in a state of chronic withdrawal manifested in unpleasant ways because they took benzodiazepines “exactly as prescribed, 3 times per day for 4 years.”

Alprazolam is the bane of an addiction medicine practice because it crosses the blood-brain barrier immediately and is relatively short acting. This is a recipe for almost certain addiction, and there are better medications. I regularly transition patients from addictive substances, including benzodiazepines, and no matter what condition I am treating—panic attacks, obsessive-compulsive disorder, depression, generalized anxiety, social anxiety, posttraumatic stress disorder, or situational anxiety—I can almost always control the patient’s symptoms using non-addictive medications.

If benzodiazepines are used for almost anything other than a short-lived condition, we are doing a tremendous disservice to our patients and exhibiting the “just give them a pill and get to the next patient” mentality we are accused of.

Terrance Reeves, MD, ABAM
Medical Director
South Walton Medical Center
Miramar Beach, FL

The authors respond

We thank Dr. Reeves for his comments and reminders of the downside to routine and long-term prescribing of benzodiazepines. As an addiction specialist, he is well positioned to see patients who are struggling with syndromes related to benzodiazepine abuse. We stand by our review of the evidence-based studies of the appropriateness of judicious benzodiazepine use in various psychiatric syndromes. The section of our article labeled “Risks of benzodiazepine use” addresses Dr. Reeves’ concerns.

Jolene R. Bostwick, PharmD, BCPS, BCPP
Clinical Assistant Professor of Pharmacy
University of Michigan College of Pharmacy
Clinical Pharmacist

Michael I. Casher, MD
Clinical Assistant Professor
Department of Psychiatry
University of Michigan Medical School
Director of Inpatient Adult Psychiatry

Shinji Yasugi, MDFirst-Year Psychiatry ResidentUniversity of Michigan Health SystemAnn Arbor, MI

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Although the title of April’s cover story (“Benzodiazepines: A versatile clinical tool,” Current Psychiatry, April 2012, p. 54-63; http://bit.ly/1zkanU3) seems to encourage the use of benzodiazepines, the authors state benzodiazepines are second-or third-line treatments for most conditions, particularly for chronic problems.

As an addiction medicine physician, I see well-intentioned doctors prescribing benzodiazepines to patients with chronic ailments. I would like to emphasize the addictive nature of benzodiazepines. “When used appropriately” is contradictory if benzodiazepines are used daily. Tolerance manifests as an exacerbation of the original symptoms, usually leading to a dosage increase. Every day, I see patients in a state of chronic withdrawal manifested in unpleasant ways because they took benzodiazepines “exactly as prescribed, 3 times per day for 4 years.”

Alprazolam is the bane of an addiction medicine practice because it crosses the blood-brain barrier immediately and is relatively short acting. This is a recipe for almost certain addiction, and there are better medications. I regularly transition patients from addictive substances, including benzodiazepines, and no matter what condition I am treating—panic attacks, obsessive-compulsive disorder, depression, generalized anxiety, social anxiety, posttraumatic stress disorder, or situational anxiety—I can almost always control the patient’s symptoms using non-addictive medications.

If benzodiazepines are used for almost anything other than a short-lived condition, we are doing a tremendous disservice to our patients and exhibiting the “just give them a pill and get to the next patient” mentality we are accused of.

Terrance Reeves, MD, ABAM
Medical Director
South Walton Medical Center
Miramar Beach, FL

The authors respond

We thank Dr. Reeves for his comments and reminders of the downside to routine and long-term prescribing of benzodiazepines. As an addiction specialist, he is well positioned to see patients who are struggling with syndromes related to benzodiazepine abuse. We stand by our review of the evidence-based studies of the appropriateness of judicious benzodiazepine use in various psychiatric syndromes. The section of our article labeled “Risks of benzodiazepine use” addresses Dr. Reeves’ concerns.

Jolene R. Bostwick, PharmD, BCPS, BCPP
Clinical Assistant Professor of Pharmacy
University of Michigan College of Pharmacy
Clinical Pharmacist

Michael I. Casher, MD
Clinical Assistant Professor
Department of Psychiatry
University of Michigan Medical School
Director of Inpatient Adult Psychiatry

Shinji Yasugi, MDFirst-Year Psychiatry ResidentUniversity of Michigan Health SystemAnn Arbor, MI

Although the title of April’s cover story (“Benzodiazepines: A versatile clinical tool,” Current Psychiatry, April 2012, p. 54-63; http://bit.ly/1zkanU3) seems to encourage the use of benzodiazepines, the authors state benzodiazepines are second-or third-line treatments for most conditions, particularly for chronic problems.

As an addiction medicine physician, I see well-intentioned doctors prescribing benzodiazepines to patients with chronic ailments. I would like to emphasize the addictive nature of benzodiazepines. “When used appropriately” is contradictory if benzodiazepines are used daily. Tolerance manifests as an exacerbation of the original symptoms, usually leading to a dosage increase. Every day, I see patients in a state of chronic withdrawal manifested in unpleasant ways because they took benzodiazepines “exactly as prescribed, 3 times per day for 4 years.”

Alprazolam is the bane of an addiction medicine practice because it crosses the blood-brain barrier immediately and is relatively short acting. This is a recipe for almost certain addiction, and there are better medications. I regularly transition patients from addictive substances, including benzodiazepines, and no matter what condition I am treating—panic attacks, obsessive-compulsive disorder, depression, generalized anxiety, social anxiety, posttraumatic stress disorder, or situational anxiety—I can almost always control the patient’s symptoms using non-addictive medications.

If benzodiazepines are used for almost anything other than a short-lived condition, we are doing a tremendous disservice to our patients and exhibiting the “just give them a pill and get to the next patient” mentality we are accused of.

Terrance Reeves, MD, ABAM
Medical Director
South Walton Medical Center
Miramar Beach, FL

The authors respond

We thank Dr. Reeves for his comments and reminders of the downside to routine and long-term prescribing of benzodiazepines. As an addiction specialist, he is well positioned to see patients who are struggling with syndromes related to benzodiazepine abuse. We stand by our review of the evidence-based studies of the appropriateness of judicious benzodiazepine use in various psychiatric syndromes. The section of our article labeled “Risks of benzodiazepine use” addresses Dr. Reeves’ concerns.

Jolene R. Bostwick, PharmD, BCPS, BCPP
Clinical Assistant Professor of Pharmacy
University of Michigan College of Pharmacy
Clinical Pharmacist

Michael I. Casher, MD
Clinical Assistant Professor
Department of Psychiatry
University of Michigan Medical School
Director of Inpatient Adult Psychiatry

Shinji Yasugi, MDFirst-Year Psychiatry ResidentUniversity of Michigan Health SystemAnn Arbor, MI

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How to manage depression in overweight or obese patients

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Mrs. G is a 52-year-old mother and teacher with a 20-year history of recurrent depressive episodes for which she has been treated with various antidepressants, including sertraline, fluoxetine, and citalopram. For some of her depressive recurrences, she also received adjunctive second-generation antipsychotics (SGAs), including quetiapine and olanzapine.

She describes feelings of “being defeated,” hopelessness, and boredom and frustration with her teaching. It takes her approximately 30 minutes to go to sleep each night, but she wakes up after 2 to 3 hours, and the remainder of her night’s sleep is markedly disrupted. Because of her hopeless feelings, she has given up on dieting and going to the gym. When feeling down she has donuts and coffee. She has gained 45 lbs over the past 10 years and now weighs 175 lbs. In addition to her disrupted mood, she complains of frequent headaches and sore muscles.

Mrs. G’s psychiatrist refers her to her primary care physician for evaluation of her physical complaints and recommendations regarding her weight gain. Her waistline measures 90 cm and her body mass index (BMI) is 29.1 kg/m2; a BMI of ≥30 is considered obese. Her blood pressure is 145/85 mmHg. Laboratory work reveals a total cholesterol level of 235 mg/dL, low-density lipoprotein of 146 mg/dL, and fasting blood sugar, 135 mg/dL.

Mrs. G’s case illustrates many of the issues psychiatrists face when caring for overweight or obese patients with depression (OW/OB-D). Both conditions can be challenging to manage, and may be especially difficult to treat when they co-occur. When depression and obesity co-occur, their capacity to inflict psychological and physical harm likely is greater than either condition alone. Data point to a “2-way street” of mutually destructive effects of being overweight/obese on depression and vice versa.1

This article summarizes ways that depression and obesity aggravate each other, and highlights research that suggests depression and obesity are manifestations of inflammatory processes. It also suggests a stepwise approach to treating OW/OB-D patients.

Mutually destructive processes

Self-esteem and body image. Lowered self-esteem is a hallmark of depression. In popular culture, “you can’t be too rich or too thin,” and the pressure to be slim is great. Therefore, OW/OB-D patients have 2 reasons to feel a depleted sense of self-worth: their psychiatric illness and their weight. Observant clinicians will recognize these dual sources of self-deprecation and tailor treatment to address both.

Increasing numbers of celebrities, performers, and prominent politicians are overweight or obese. Increased social acceptance of OW/OB individuals in our culture may be legitimizing weight gain and obesity. When OW/OB-D patients justify their weight by pointing to overweight celebrities, clinicians can counter this argument with data on the hazards of obesity on health and well-being, such as premature death, coronary artery disease, diabetes, arthritis, and some forms of cancer.

OW/OB patients tend to interact with other OW/OB individuals. Christakis et al2 reported that adults with obese friends were more likely to become obese than individuals without obese friends. Valente et al3 found that overweight teens were twice as likely to have overweight friends as non-overweight teens. This power of social connectedness can be harnessed when treating OW/OB-D patients, where therapeutic groups can help patients address both depression and weight gain.

Inactivity. OW/OB-D patients with psychomotor retardation or reduced activity may gain weight because they consume more calories than their body requires. Depressed patients may say they “have no energy” to participate in a clinician-recommended exercise program or that “it won’t do any good anyway.”

These tendencies are best dealt with by incorporating an exercise program into the comprehensive plan for OW/OB-D patients from the start of treatment. Several studies suggest that in addition to helping manage weight, exercise may have antidepressant effects. In a large, well-controlled trial of patients with major depressive disorder (MDD), Blumenthal et al4 found that an exercise program was as effective as fluoxetine, 20 mg/d, and the antidepressant effects persisted at 10-month follow-up for patients who continued to exercise.5 In a review of studies of exercise in depressed patients, Helmich et al6 concluded that in most studies exercise was beneficial. However, Mead et al7 found that nearly all trials of exercise and depression had substantial design flaws. Based on the 3 well-designed studies they reviewed, Mead et al concluded that the efficacy of exercise was comparable to that of cognitive therapy.

Although the evidence on exercise for treating depression is inconclusive, an exercise program is essential for OW/OB-D patients because it can help manage weight and improve cardiovascular fitness. Motivation is a key ingredient of successful programs.8 Encourage patients to make exercise enjoyable, perhaps by using video games or other interactive computer-based programs.9

 

 

Sleep disturbances. Disrupted sleep— another hallmark of depression—appears to be a risk factor for weight gain.10 Although the basis for this relationship is still under investigation, one possibility is that some patients with insomnia get up to eat more often than those without sleep disturbances. Research has shown that when sleep is curtailed in a sleep laboratory, patients consume approximately 20% more calories from snacks (1,086 calories) than non-sleep-deprived patients (866 calories).11 Although this 220-calorie increase may seem small, it would amount to approximately 2 lbs of additional weight per month.

Appetite. Although weight loss is a cardinal sign of MDD, increased appetite and weight gain can be seen in many depressed patients who do not meet diagnostic criteria for MDD as well as those with seasonal affective disorder and metabolic syndrome, a condition characterized by insulin resistance, glucose intolerance, atherogenic dyslipidemia, visceral adiposity, hypercoagulation, chronic inflammation, oxidative stress, and hypertension.12

Emerging information about the neuroendocrinology of appetite regulation may lead to a better understanding of weight management in OW/OB-D patients. Leptin, a hormone released by adipose tissue, increases when fat stores are high, leading to reduced appetite and fat stores. Conversely, when fat stores are low, plasma leptin levels decrease, producing increased appetite and reduced energy expenditure.13

Researchers have suggested that leptin insufficiency and/or leptin resistance may contribute to vulnerability to depression, and leptin may have antidepressant effects.14 Lawson et al15 found that leptin levels were inversely associated with Hamilton Depression Rating Scale scores in normal-weight (BMI ≤25) women.

Leptin levels also are significantly associated with comorbid depressed mood and sleep disturbance.16 In healthy volunteers, shortening sleep duration to 4 hours produced an approximately 20% reduction in leptin release compared with normal sleep duration.17 Because of the relationship between sleep disorders and depression, leptin may act on sleep regulatory mechanisms, depressogenic pathways, or both. But studies of leptin’s role in obesity, depression, and sleep have not yet found a single role for leptin that ties all 3 conditions to this hormone’s known physiological functions.

Nonadherence. Compared with non-depressed patients, depressed patients are 76% more likely to not adhere to treatment.18 Patients may report that they are not interested in the treatment program or lack hope that it will be successful. Furthermore, OW/OB-D patients may consider exercise programs to be too strenuous and diet programs too depriving.19

OW/OB-D patients may require special care in monitoring adherence. The presence of depression in patients enrolled in weight loss programs may prompt the treatment staff to modify the usual protocol by including the patient in an active depression treatment module.20

Effects of pharmacologic agents

Many antidepressant agents are associated with weight gain.21Tables 1 and 2 summarize the effects antidepressants and adjunctive medications used to treat depression have on weight.22,23 SGAs such as clozapine and olanzapine, which frequently are used as augmenting agents in patients with treatment-resistant depression (TRD), are associated with weight gain.22 Lamotrigine also is an effective adjunctive medication for TRD and is not associated with significant weight gain.24

Bupropion has antidepressant and weight-loss effects and may be a suitable primary medication for OW/OB-D patients.

Early weight gain with olanzapine/fluoxetine combination may be a strong indicator of substantial weight gain with longer-term treatment. A weight gain of >2 kg (4.4 lbs) during the first 2 weeks of treatment is a strong predictor of weight gain of ≥10 kg (22 lbs) at 26 weeks.25

Antidepressants may be associated with an increased risk of obesity, and strategies to offset this risk may be useful in clinical practice, particularly patient education on the risks of weight gain and early introduction of a diet and exercise program.

Evidence suggests that depression and obesity are associated with alterations in immune activity (Box). This suggests that anti-inflammatory agents might have a role in treating depression by reducing the release of cytokines that may lead to depressive symptoms.

Table 1

Pharmacotherapy and weight gain: Antidepressants

AgentEffect on weight
SSRIs
ParoxetineModerate gain
FluoxetineEarly: weight loss
Long-term: moderate gain
SNRIs
DuloxetineMinimal gain
EscitalopramModerate gain
Other agents
Imipramine (TCA)Moderate gain
Selegiline (MAOI)Moderate gain
Trazodone (tetracyclic)Moderate gain
Bupropion (atypical)Moderate loss
MAOI: monoamine oxidase inhibitor; SNRIs: serotonin-norepinephrine reuptake inhibitors; SSRIs: selective serotonin reuptake inhibitors; TCA: tricyclic antidepressant
Source: References 22,23
 

 

Table 2

Pharmacotherapy and weight gain: Adjunctive agents

AgentUse in depressionEffect on weight
SGAs
OlanzapinePsychotic depressionLarge gain
ClozapineAdjunct; psychotic depressionLarge gain
QuetiapinePrimary; adjunctLarge gain
AripiprazoleAdjunctSmall gain
RisperidonePsychotic depressionSmall gain
ZiprasidonePsychotic depressionSmall loss
Mood stabilizers
DivalproexTreatment resistance, bipolar disorderModerate to large gain
LamotrigineTreatment resistanceNeutral
SGAs: second-generation antipsychotics
Source: References 22,23

Box

Depression and obesity: The ‘inflammation connection’

Research suggests that both depression and obesity are associated with immune dysregulation and inflammation.a-d Although the complexities of these interactions are beyond the scope of this article, having a model for understanding the role of inflammation in overweight or obese patients with depression (OW/OB-D) may be useful. Data supporting a role for immune dysregulation in OW/OB-D patients rests on the following findings:

Fat and muscle are endocrine organs: Fat is not just a storage organ for energy-rich lipids but also a rich source of cytokines, including monocyte chemotactic protein-1 (MCP-1), interleukin-2, and tumor necrosis factor-α (TNF-α). The increase in MCP-1 in fat tissue triggers a cascade of events that leads to chronic inflammation in adipose tissue. These substances can be released into circulation, stimulating inflammatory responses in other tissues. Data suggest that obesity’s effects on cardiovascular disease are mediated by these adipose-derived inflammatory hormones. There is a strong relationship between the volume of adipose tissue and the amount of pro-inflammatory hormones released; therefore, reducing weight reduces inflammatory burden on the body.

Pedersene pointed out that muscle also is an endocrine organ. Among the cytokines (or “myokines”) muscle produces are interleukin-6 (IL-6), interleukin-8, and brain-derived neurotrophic factor. During exercise, the amount of IL-6 released from muscles may increase by 100-fold. Although IL-6 usually is considered a pro-inflammatory regulator, it—or other muscle-derived myokines—may be responsible for some of exercise’s beneficial effects.e

If this hypothesis is correct, patients whose exercise includes resistance training—which increases muscle mass—are not just getting stronger or burning calories but may be facilitating release of hormones that could counteract obesity’s inflammatory effects.

Cytokine levels are elevated in depression and obesity: A substantial body of evidence shows that depressed patients have elevated circulating levels of inflammation markers. In particular, the proinflammatory cytokines IL-6 and interleukin-1β and the acute phase reactant C-reactive protein (CRP) are elevated in depressed patients.f Studies also show that blood levels of IL-6, TNF-α, and CRP are elevated in obese patients.g

Fat-derived cytokines alter metabolic pathways related to mood and inflammation: Among the many possible pathways linking cytokine actions and depression, the effects of TNF-α on serotonin metabolism have been studied extensively.h,i TNF-α activates brain indoleamine 2,3-dioxygenase, leading to rapid depletion of serotonin and exacerbation of depressive symptoms.j

Regarding physical problems, evidence suggests adipose-tissue-derived pro-inflammatory agents are involved in development of metabolic syndrome, a condition characterized by insulin resistance, glucose intolerance, atherogenic dyslipidemia, visceral adiposity, hypercoagulation, chronic inflammation, oxidative stress, and hypertension.k These conditions are strong risk factors for type II diabetes, coronary artery disease, hypertension, and stroke.

Anti-inflammatory agents for depression

Data suggest a model in which weight gain leads to an increase in pro-inflammatory cytokines. When released into the circulation, these cytokines produce a variety of deleterious effects, including blockade of serotonin synthesis in the brain that leads to depressive symptoms. Evidence suggests that anti-inflammatory agents might disrupt this process.

Celecoxib. The anti-inflammatory agent celecoxib acts by inhibiting cyclooxygenase-2, the rate-limiting enzyme in the synthesis of prostaglandin, a powerful inflammation mediator. Three double-blind, placebo-controlled trials have compared groups of:

  • depressed patients receiving reboxetine with and without celecoxibl or fluoxetine, 40 mg/d, with and without celecoxibm
  • bipolar disorder patients taking mood stabilizers or atypical antipsychotics with and without celecoxib, 400 mg/d.n

These studies suggest that celecoxib may accelerate improvement in depressive symptoms. Celecoxib’s potential for increased cardiovascular risk may limit its use.

Aspirin. Mendlewicz et alo conducted an open-label study in which 24 depressed patients who failed to respond to 4 weeks of antidepressant treatment received adjunctive acetylsalicylic acid, 160 mg/d, for another 4 weeks. They found that 52% of patients responded when aspirin was added to their regimen, and the improvement was seen during the first week of treatment.

References

  1. Shelton RC, Miller AH. Inflammation in depression: is adiposity a cause? Dialogues Clin Neurosci. 2011;13(1):41-53.
  2. Shelton RC, Miller AH. Eating ourselves to death (and despair): the contribution of adiposity and inflammation to depression. Prog Neurobiol. 2010;91(4):275-299.
  3. Soczynska JK, Kennedy SH, Woldeyohannes HO, et al. Mood disorders and obesity: understanding inflammation as a pathophysiological nexus. Neuromolecular Med. 2011;13(2):93-116.
  4. Lumeng CN, Saltiel AR. Inflammatory links between obesity and metabolic disease. J Clin Invest. 2011;121(6):2111-2117.
  5. Pedersen BK. Muscles and their myokines. J Exp Biol. 2011;214(Pt 2):337-346.
  6. Maes M, Kubera M, Obuchowiczwa E, et al. Depression’s multiple comorbidities explained by (neuro)inflammatory and oxidative & nitrosative stress pathways. Neuro Endocrinol Lett. 2011;32(1):7-24.
  7. Khaodhiar L, Ling PR, Blackburn GL, et al. Serum levels of interleukin-6 and C-reactive protein correlate with body mass index across the broad range of obesity. JPEN J Parenter Enteral Nutr. 2004;28(6):410-415.
  8. Capuron L, Miller AH. Immune system to brain signaling: neuropsychopharmacological implications. Pharmacol Ther. 2011;130(2):226-238.
  9. Miller AH, Maletic V, Raison CL. Inflammation and its discontents: the role of cytokines in the pathophysiology of major depression. Biol Psychiatry. 2009;65(9):732-741.
  10. O’Connor JC, André C, Wang Y, et al. Interferon-gamma and tumor necrosis factor-alpha mediate the upregulation of indoleamine 2,3-dioxygenase and the induction of depressive-like behavior in mice in response to bacillus Calmette-Guerin. J Neurosci. 2009;29(13):4200-4209.
  11. Ford ES, Giles WH, Dietz WH. Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. JAMA. 2002;287(3):356-359.
  12. Müller N, Schwarz MJ, Dehning S, et al. The cyclooxygenase-2 inhibitor celecoxib has therapeutic effects in major depression: results of a double-blind, randomized, placebo controlled, add-on pilot study to reboxetine. Mol Psychiatry. 2006;11(7):680-684.
  13. Akhondzadeh S, Jafari S, Raisi F, et al. Clinical trial of adjunctive celecoxib treatment in patients with major depression: a double blind and placebo controlled trial. Depress Anxiety. 2009;26(7):607-611.
  14. Nery FG, Monkul ES, Hatch JP, et al. Celecoxib as an adjunct in the treatment of depressive or mixed episodes of bipolar disorder: a double-blind, randomized, placebo-controlled study. Hum Psychopharmacol. 2008;23(2):87-94.
  15. Mendlewicz J, Kriwin P, Oswald P, et al. Shortened onset of action of antidepressants in major depression using acetylsalicylic acid augmentation: a pilot open-label study. Int Clin Psychopharmacol. 2006;21(4):227-231.
 

 

Cognitive/behavioral approaches

Although large, well-designed studies of OW/OB-D patients are in the planning or pilot phases,26-28 a substantial database supports incorporating behavioral or cognitive-behavioral therapies when treating these patients.29 Patients in programs that combine behavioral approaches with diet and exercise achieve the greatest weight loss, and frequently show improved depression scores.30-32

In a randomized trial, 203 obese women with moderate to severe depression showed significant weight loss and decreased depression scores whether they were in a behavioral weight-loss program or one that combined behavioral weigh loss with cognitive-behavioral depression management.33 This study raises important questions: Did the behavioral weight-loss program effectively treat depression? Did patients’ depressive symptoms improve because of their improved sense of well-being as they lost weight? Did a putative reduction in cytokine production by fat cells improve their mood?

Treatment implications

Mrs. G has TRD, a BMI that borders on obesity, sleep problems, and lab values that suggest she may have metabolic syndrome. To best manage patients such as Mrs. G, consider the following steps:

  1. Select an antidepressant that is unlikely to cause further weight gain, such as bupropion, duloxetine, or fluoxetine.
  2. If necessary, add an augmenting agent that is not associated with weight gain, such as bupropion, aripiprazole, or lamotrigine.
  3. Verify that your patient is getting adequate sleep. Begin by reviewing the principles of sleep hygiene and, if necessary, prescribe a sedative or hypnotic medication.
  4. Although controlled clinical trials are lacking, consider including an anti-inflammatory agent such as aspirin to the pharmacologic armamentarium.
  5. Institute an exercise and diet program at the beginning of treatment. Exercise can begin with 20 to 30 minutes a day of walking. Tell patients that exercising in groups is a good way to address nonadherence and social isolation and reinforce positive lifestyle changes. Recommend that patients combine aerobic exercise to burn calories with resistance training to build muscle. Suggest that patients try to make exercising fun using video games or interactive computer-based programs.
  6. Encourage your patient to keep a journal to record his or her weight, amount and type of exercise, medication taken, and dietary intake. Review this information at every session to reinforce the importance of this integrated exercise and diet program.

Related Resources

  • Markowitz S, Friedman MA, Arent SM. Understanding the relation between obesity and depression: causal mechanisms and implications for treatment. Clinical Psychology: Science and Practice. 2008:15(1):1-20.
  • Burke LE, Wang J, Sevick MA. Self-monitoring in weight loss: a systematic review of the literature. J Am Diet Assoc. 2011;111(1):92-102.

Drug Brand Names

  • Aripiprazole • Abilify
  • Bupropion • Wellbutrin, Zyban
  • Celecoxib • Celebrex
  • Citalopram • Celexa
  • Clozapine • Clozaril
  • Divalproex • Depakote
  • Duloxetine • Cymbalta
  • Escitalopram • Lexapro
  • Fluoxetine • Prozac
  • Imipramine • Tofranil
  • Lamotrigine • Lamictal
  • Olanzapine • Zyprexa
  • Olanzapine/fluoxetine • Symbyax
  • Paroxetine • Paxil
  • Quetiapine • Seroquel
  • Risperidone • Risperdal
  • Selegiline • Emsam
  • Sertraline • Zoloft
  • Trazodone • Desyrel, Oleptro
  • Ziprasidone • Geodon

Disclosure

Dr. Crayton reports no financial relationship with any company whose products are mentioned in this article or with manufacturers of competing products.

References

1. Luppino FS, de Wit LM, Bouvy PF, et al. Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry. 2010;67(3):220-229.

2. Christakis NA, Fowler JH. The spread of obesity in a large social network over 32 years. N Engl J Med. 2007;357(4):370-379.

3. Valente TW, Fujimoto K, Chou CP, et al. Adolescent affiliations and adiposity: a social network analysis of friendships and obesity. J Adolesc Health. 2009;45(2):202-204.

4. Blumenthal JA, Babyak MA, Doraiswamy PM, et al. Exercise and pharmacotherapy in the treatment of major depressive disorder. Psychosom Med. 2007;69(7):587-596.

5. Babyak M, Blumenthal JA, Herman S, et al. Exercise treatment for major depression: maintenance of therapeutic benefit at 10 months. Psychosom Med. 2000;62(5):633-638.

6. Helmich I, Latini A, Sigwalt A, et al. Neurobiological alterations induced by exercise and their impact on depressive disorders [corrected]. Clin Pract Epidemiol Ment Health. 2010;6:115-125.

7. Mead GE, Morley W, Campbell P, et al. Exercise for depression. Cochrane Database Syst Rev. 2009;(3):CD004366.

8. Tse J, Chow E, Sultana-Cordero R, et al. Motivation-based interventions for obesity in serious mental illness. Psychiatric Ann. 2011;41(10):473-477.

9. Rosenberg D, Depp CA, Vahia IV, et al. Exergames for subsyndromal depression in older adults: a pilot study of a novel intervention. Am J Geriatr Psychiatry. 2010;18(3):221-226.

10. Knutson KL, Van Cauter E. Associations between sleep loss and increased risk of obesity and diabetes. Ann N Y Acad Sci. 2008;1129:287-304.

11. Nedeltcheva AV, Kilkus JM, Imperial J, et al. Sleep curtailment is accompanied by increased intake of calories from snacks. Am J Clin Nutr. 2009;89(1):126-133.

12. Isomaa B. A major health hazard: the metabolic syndrome. Life Sci. 2003;73(19):2395-2411.

13. Friedman JM. Leptin at 14 y of age: an ongoing story. Am J Clin Nutr. 2009;89(3):973S-979S.

14. Lu XY. The leptin hypothesis of depression: a potential link between mood disorders and obesity? Curr Opin Pharmacol. 2007;7(6):648-652.

15. Lawson EA, Miller KK, Blum JI, et al. Leptin levels are associated with decreased depressive symptoms in women across the weight spectrum, independent of body fat. Clin Endocrinol (Oxf). 2012;76(4):520-525.

16. Häfner S, Baumert J, Emeny RT, et al. Sleep disturbances and depressed mood: a harmful combination associated with increased leptin levels in women with normal weight. Biol Psychol. 2012;89(1):163-169.

17. Spiegel K, Leproult R, L’hermite-Balériaux M, et al. Leptin levels are dependent on sleep duration: relationships with sympathovagal balance, carbohydrate regulation, cortisol, and thyrotropin. J Clin Endocrinol Metab. 2004;89(11):5762-5771.

18. Grenard JL, Munjas BA, Adams JL, et al. Depression and medication adherence in the treatment of chronic diseases in the United States: a meta-analysis. J Gen Intern Med. 2011;26(10):1175-1182.

19. Gonzalez JS, Safren SA, Delahanty LM, et al. Symptoms of depression prospectively predict poorer self-care in patients with Type 2 diabetes. Diabet Med. 2008;25(9):1102-1107.

20. Somerset SM, Graham L, Markwell K. Depression scores predict adherence in a dietary weight loss intervention trial. Clin Nutr. 2011;30(5):593-598.

21. Patten SB, Williams JV, Lavorato DH, et al. Major depression, antidepressant medication and the risk of obesity. Psychother Psychosom. 2009;78(3):182-186.

22. Nihalani N, Schwartz TL, Siddiqui UA, et al. Weight gain, obesity, and psychotropic prescribing. J Obes. 2011;2011:893629.

23. Serretti A, Mandelli L. Antidepressants and body weight: a comprehensive review and meta-analysis. J Clin Psychiatry. 2010;71(10):1259-1272.

24. Gabriel A. Lamotrigine adjunctive treatment in resistant unipolar depression: an open, descriptive study. Depress Anxiety. 2006;23(8):485-488.

25. Degenhardt EK, Jamal HH, Tormey S, et al. Early weight gain as a predictor of substantial weight gain with olanzapine/fluoxetine combination: an analysis of 2 adult studies in treatment-resistant depression. J Clin Psychopharmacol. 2011;31(3):337-340.

26. Faulconbridge LF, Wadden TA, Berkowitz RI, et al. Treatment of comorbid obesity and major depressive disorder: a prospective pilot study for their combined treatment. J Obes. 2011;2011:870385.

27. Schneider KL, Bodenlos JS, Ma Y, et al. Design and methods for a randomized clinical trial treating comorbid obesity and major depressive disorder. BMC Psychiatry. 2008;8:77.

28. Pagoto S, Bodenlos JS, Schneider KL, et al. Initial investigation of behavioral activation therapy for co-morbid major depressive disorder and obesity. Psychotherapy (Chic). 2008;45(3):410-415.

29. Shaw K, O’Rourke P, Del Mar C, et al. Psychological interventions for overweight or obesity. Cochrane Database Syst Rev. 2005;(2):CD003818.

30. Thieszen CL, Merrill RM, Aldana SG, et al. The Coronary Health Improvement Project (CHIP) for lowering weight and improving psychosocial health. Psychol Rep. 2011;109(1):338-352.

31. Fabricatore AN, Wadden TA, Higginbotham AJ, et al. Intentional weight loss and changes in symptoms of depression: a systematic review and meta-analysis. Int J Obes (Lond). 2011;35(11):1363-1376.

32. Simon GE, Rohde P, Ludman EJ, et al. Association between change in depression and change in weight among women enrolled in weight loss treatment. Gen Hosp Psychiatry. 2010;32(6):583-589.

33. Linde JA, Simon GE, Ludman EJ, et al. A randomized controlled trial of behavioral weight loss treatment versus combined weight loss/depression treatment among women with comorbid obesity and depression. Ann Behav Med. 2011;41(1):119-130.

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Mrs. G is a 52-year-old mother and teacher with a 20-year history of recurrent depressive episodes for which she has been treated with various antidepressants, including sertraline, fluoxetine, and citalopram. For some of her depressive recurrences, she also received adjunctive second-generation antipsychotics (SGAs), including quetiapine and olanzapine.

She describes feelings of “being defeated,” hopelessness, and boredom and frustration with her teaching. It takes her approximately 30 minutes to go to sleep each night, but she wakes up after 2 to 3 hours, and the remainder of her night’s sleep is markedly disrupted. Because of her hopeless feelings, she has given up on dieting and going to the gym. When feeling down she has donuts and coffee. She has gained 45 lbs over the past 10 years and now weighs 175 lbs. In addition to her disrupted mood, she complains of frequent headaches and sore muscles.

Mrs. G’s psychiatrist refers her to her primary care physician for evaluation of her physical complaints and recommendations regarding her weight gain. Her waistline measures 90 cm and her body mass index (BMI) is 29.1 kg/m2; a BMI of ≥30 is considered obese. Her blood pressure is 145/85 mmHg. Laboratory work reveals a total cholesterol level of 235 mg/dL, low-density lipoprotein of 146 mg/dL, and fasting blood sugar, 135 mg/dL.

Mrs. G’s case illustrates many of the issues psychiatrists face when caring for overweight or obese patients with depression (OW/OB-D). Both conditions can be challenging to manage, and may be especially difficult to treat when they co-occur. When depression and obesity co-occur, their capacity to inflict psychological and physical harm likely is greater than either condition alone. Data point to a “2-way street” of mutually destructive effects of being overweight/obese on depression and vice versa.1

This article summarizes ways that depression and obesity aggravate each other, and highlights research that suggests depression and obesity are manifestations of inflammatory processes. It also suggests a stepwise approach to treating OW/OB-D patients.

Mutually destructive processes

Self-esteem and body image. Lowered self-esteem is a hallmark of depression. In popular culture, “you can’t be too rich or too thin,” and the pressure to be slim is great. Therefore, OW/OB-D patients have 2 reasons to feel a depleted sense of self-worth: their psychiatric illness and their weight. Observant clinicians will recognize these dual sources of self-deprecation and tailor treatment to address both.

Increasing numbers of celebrities, performers, and prominent politicians are overweight or obese. Increased social acceptance of OW/OB individuals in our culture may be legitimizing weight gain and obesity. When OW/OB-D patients justify their weight by pointing to overweight celebrities, clinicians can counter this argument with data on the hazards of obesity on health and well-being, such as premature death, coronary artery disease, diabetes, arthritis, and some forms of cancer.

OW/OB patients tend to interact with other OW/OB individuals. Christakis et al2 reported that adults with obese friends were more likely to become obese than individuals without obese friends. Valente et al3 found that overweight teens were twice as likely to have overweight friends as non-overweight teens. This power of social connectedness can be harnessed when treating OW/OB-D patients, where therapeutic groups can help patients address both depression and weight gain.

Inactivity. OW/OB-D patients with psychomotor retardation or reduced activity may gain weight because they consume more calories than their body requires. Depressed patients may say they “have no energy” to participate in a clinician-recommended exercise program or that “it won’t do any good anyway.”

These tendencies are best dealt with by incorporating an exercise program into the comprehensive plan for OW/OB-D patients from the start of treatment. Several studies suggest that in addition to helping manage weight, exercise may have antidepressant effects. In a large, well-controlled trial of patients with major depressive disorder (MDD), Blumenthal et al4 found that an exercise program was as effective as fluoxetine, 20 mg/d, and the antidepressant effects persisted at 10-month follow-up for patients who continued to exercise.5 In a review of studies of exercise in depressed patients, Helmich et al6 concluded that in most studies exercise was beneficial. However, Mead et al7 found that nearly all trials of exercise and depression had substantial design flaws. Based on the 3 well-designed studies they reviewed, Mead et al concluded that the efficacy of exercise was comparable to that of cognitive therapy.

Although the evidence on exercise for treating depression is inconclusive, an exercise program is essential for OW/OB-D patients because it can help manage weight and improve cardiovascular fitness. Motivation is a key ingredient of successful programs.8 Encourage patients to make exercise enjoyable, perhaps by using video games or other interactive computer-based programs.9

 

 

Sleep disturbances. Disrupted sleep— another hallmark of depression—appears to be a risk factor for weight gain.10 Although the basis for this relationship is still under investigation, one possibility is that some patients with insomnia get up to eat more often than those without sleep disturbances. Research has shown that when sleep is curtailed in a sleep laboratory, patients consume approximately 20% more calories from snacks (1,086 calories) than non-sleep-deprived patients (866 calories).11 Although this 220-calorie increase may seem small, it would amount to approximately 2 lbs of additional weight per month.

Appetite. Although weight loss is a cardinal sign of MDD, increased appetite and weight gain can be seen in many depressed patients who do not meet diagnostic criteria for MDD as well as those with seasonal affective disorder and metabolic syndrome, a condition characterized by insulin resistance, glucose intolerance, atherogenic dyslipidemia, visceral adiposity, hypercoagulation, chronic inflammation, oxidative stress, and hypertension.12

Emerging information about the neuroendocrinology of appetite regulation may lead to a better understanding of weight management in OW/OB-D patients. Leptin, a hormone released by adipose tissue, increases when fat stores are high, leading to reduced appetite and fat stores. Conversely, when fat stores are low, plasma leptin levels decrease, producing increased appetite and reduced energy expenditure.13

Researchers have suggested that leptin insufficiency and/or leptin resistance may contribute to vulnerability to depression, and leptin may have antidepressant effects.14 Lawson et al15 found that leptin levels were inversely associated with Hamilton Depression Rating Scale scores in normal-weight (BMI ≤25) women.

Leptin levels also are significantly associated with comorbid depressed mood and sleep disturbance.16 In healthy volunteers, shortening sleep duration to 4 hours produced an approximately 20% reduction in leptin release compared with normal sleep duration.17 Because of the relationship between sleep disorders and depression, leptin may act on sleep regulatory mechanisms, depressogenic pathways, or both. But studies of leptin’s role in obesity, depression, and sleep have not yet found a single role for leptin that ties all 3 conditions to this hormone’s known physiological functions.

Nonadherence. Compared with non-depressed patients, depressed patients are 76% more likely to not adhere to treatment.18 Patients may report that they are not interested in the treatment program or lack hope that it will be successful. Furthermore, OW/OB-D patients may consider exercise programs to be too strenuous and diet programs too depriving.19

OW/OB-D patients may require special care in monitoring adherence. The presence of depression in patients enrolled in weight loss programs may prompt the treatment staff to modify the usual protocol by including the patient in an active depression treatment module.20

Effects of pharmacologic agents

Many antidepressant agents are associated with weight gain.21Tables 1 and 2 summarize the effects antidepressants and adjunctive medications used to treat depression have on weight.22,23 SGAs such as clozapine and olanzapine, which frequently are used as augmenting agents in patients with treatment-resistant depression (TRD), are associated with weight gain.22 Lamotrigine also is an effective adjunctive medication for TRD and is not associated with significant weight gain.24

Bupropion has antidepressant and weight-loss effects and may be a suitable primary medication for OW/OB-D patients.

Early weight gain with olanzapine/fluoxetine combination may be a strong indicator of substantial weight gain with longer-term treatment. A weight gain of >2 kg (4.4 lbs) during the first 2 weeks of treatment is a strong predictor of weight gain of ≥10 kg (22 lbs) at 26 weeks.25

Antidepressants may be associated with an increased risk of obesity, and strategies to offset this risk may be useful in clinical practice, particularly patient education on the risks of weight gain and early introduction of a diet and exercise program.

Evidence suggests that depression and obesity are associated with alterations in immune activity (Box). This suggests that anti-inflammatory agents might have a role in treating depression by reducing the release of cytokines that may lead to depressive symptoms.

Table 1

Pharmacotherapy and weight gain: Antidepressants

AgentEffect on weight
SSRIs
ParoxetineModerate gain
FluoxetineEarly: weight loss
Long-term: moderate gain
SNRIs
DuloxetineMinimal gain
EscitalopramModerate gain
Other agents
Imipramine (TCA)Moderate gain
Selegiline (MAOI)Moderate gain
Trazodone (tetracyclic)Moderate gain
Bupropion (atypical)Moderate loss
MAOI: monoamine oxidase inhibitor; SNRIs: serotonin-norepinephrine reuptake inhibitors; SSRIs: selective serotonin reuptake inhibitors; TCA: tricyclic antidepressant
Source: References 22,23
 

 

Table 2

Pharmacotherapy and weight gain: Adjunctive agents

AgentUse in depressionEffect on weight
SGAs
OlanzapinePsychotic depressionLarge gain
ClozapineAdjunct; psychotic depressionLarge gain
QuetiapinePrimary; adjunctLarge gain
AripiprazoleAdjunctSmall gain
RisperidonePsychotic depressionSmall gain
ZiprasidonePsychotic depressionSmall loss
Mood stabilizers
DivalproexTreatment resistance, bipolar disorderModerate to large gain
LamotrigineTreatment resistanceNeutral
SGAs: second-generation antipsychotics
Source: References 22,23

Box

Depression and obesity: The ‘inflammation connection’

Research suggests that both depression and obesity are associated with immune dysregulation and inflammation.a-d Although the complexities of these interactions are beyond the scope of this article, having a model for understanding the role of inflammation in overweight or obese patients with depression (OW/OB-D) may be useful. Data supporting a role for immune dysregulation in OW/OB-D patients rests on the following findings:

Fat and muscle are endocrine organs: Fat is not just a storage organ for energy-rich lipids but also a rich source of cytokines, including monocyte chemotactic protein-1 (MCP-1), interleukin-2, and tumor necrosis factor-α (TNF-α). The increase in MCP-1 in fat tissue triggers a cascade of events that leads to chronic inflammation in adipose tissue. These substances can be released into circulation, stimulating inflammatory responses in other tissues. Data suggest that obesity’s effects on cardiovascular disease are mediated by these adipose-derived inflammatory hormones. There is a strong relationship between the volume of adipose tissue and the amount of pro-inflammatory hormones released; therefore, reducing weight reduces inflammatory burden on the body.

Pedersene pointed out that muscle also is an endocrine organ. Among the cytokines (or “myokines”) muscle produces are interleukin-6 (IL-6), interleukin-8, and brain-derived neurotrophic factor. During exercise, the amount of IL-6 released from muscles may increase by 100-fold. Although IL-6 usually is considered a pro-inflammatory regulator, it—or other muscle-derived myokines—may be responsible for some of exercise’s beneficial effects.e

If this hypothesis is correct, patients whose exercise includes resistance training—which increases muscle mass—are not just getting stronger or burning calories but may be facilitating release of hormones that could counteract obesity’s inflammatory effects.

Cytokine levels are elevated in depression and obesity: A substantial body of evidence shows that depressed patients have elevated circulating levels of inflammation markers. In particular, the proinflammatory cytokines IL-6 and interleukin-1β and the acute phase reactant C-reactive protein (CRP) are elevated in depressed patients.f Studies also show that blood levels of IL-6, TNF-α, and CRP are elevated in obese patients.g

Fat-derived cytokines alter metabolic pathways related to mood and inflammation: Among the many possible pathways linking cytokine actions and depression, the effects of TNF-α on serotonin metabolism have been studied extensively.h,i TNF-α activates brain indoleamine 2,3-dioxygenase, leading to rapid depletion of serotonin and exacerbation of depressive symptoms.j

Regarding physical problems, evidence suggests adipose-tissue-derived pro-inflammatory agents are involved in development of metabolic syndrome, a condition characterized by insulin resistance, glucose intolerance, atherogenic dyslipidemia, visceral adiposity, hypercoagulation, chronic inflammation, oxidative stress, and hypertension.k These conditions are strong risk factors for type II diabetes, coronary artery disease, hypertension, and stroke.

Anti-inflammatory agents for depression

Data suggest a model in which weight gain leads to an increase in pro-inflammatory cytokines. When released into the circulation, these cytokines produce a variety of deleterious effects, including blockade of serotonin synthesis in the brain that leads to depressive symptoms. Evidence suggests that anti-inflammatory agents might disrupt this process.

Celecoxib. The anti-inflammatory agent celecoxib acts by inhibiting cyclooxygenase-2, the rate-limiting enzyme in the synthesis of prostaglandin, a powerful inflammation mediator. Three double-blind, placebo-controlled trials have compared groups of:

  • depressed patients receiving reboxetine with and without celecoxibl or fluoxetine, 40 mg/d, with and without celecoxibm
  • bipolar disorder patients taking mood stabilizers or atypical antipsychotics with and without celecoxib, 400 mg/d.n

These studies suggest that celecoxib may accelerate improvement in depressive symptoms. Celecoxib’s potential for increased cardiovascular risk may limit its use.

Aspirin. Mendlewicz et alo conducted an open-label study in which 24 depressed patients who failed to respond to 4 weeks of antidepressant treatment received adjunctive acetylsalicylic acid, 160 mg/d, for another 4 weeks. They found that 52% of patients responded when aspirin was added to their regimen, and the improvement was seen during the first week of treatment.

References

  1. Shelton RC, Miller AH. Inflammation in depression: is adiposity a cause? Dialogues Clin Neurosci. 2011;13(1):41-53.
  2. Shelton RC, Miller AH. Eating ourselves to death (and despair): the contribution of adiposity and inflammation to depression. Prog Neurobiol. 2010;91(4):275-299.
  3. Soczynska JK, Kennedy SH, Woldeyohannes HO, et al. Mood disorders and obesity: understanding inflammation as a pathophysiological nexus. Neuromolecular Med. 2011;13(2):93-116.
  4. Lumeng CN, Saltiel AR. Inflammatory links between obesity and metabolic disease. J Clin Invest. 2011;121(6):2111-2117.
  5. Pedersen BK. Muscles and their myokines. J Exp Biol. 2011;214(Pt 2):337-346.
  6. Maes M, Kubera M, Obuchowiczwa E, et al. Depression’s multiple comorbidities explained by (neuro)inflammatory and oxidative & nitrosative stress pathways. Neuro Endocrinol Lett. 2011;32(1):7-24.
  7. Khaodhiar L, Ling PR, Blackburn GL, et al. Serum levels of interleukin-6 and C-reactive protein correlate with body mass index across the broad range of obesity. JPEN J Parenter Enteral Nutr. 2004;28(6):410-415.
  8. Capuron L, Miller AH. Immune system to brain signaling: neuropsychopharmacological implications. Pharmacol Ther. 2011;130(2):226-238.
  9. Miller AH, Maletic V, Raison CL. Inflammation and its discontents: the role of cytokines in the pathophysiology of major depression. Biol Psychiatry. 2009;65(9):732-741.
  10. O’Connor JC, André C, Wang Y, et al. Interferon-gamma and tumor necrosis factor-alpha mediate the upregulation of indoleamine 2,3-dioxygenase and the induction of depressive-like behavior in mice in response to bacillus Calmette-Guerin. J Neurosci. 2009;29(13):4200-4209.
  11. Ford ES, Giles WH, Dietz WH. Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. JAMA. 2002;287(3):356-359.
  12. Müller N, Schwarz MJ, Dehning S, et al. The cyclooxygenase-2 inhibitor celecoxib has therapeutic effects in major depression: results of a double-blind, randomized, placebo controlled, add-on pilot study to reboxetine. Mol Psychiatry. 2006;11(7):680-684.
  13. Akhondzadeh S, Jafari S, Raisi F, et al. Clinical trial of adjunctive celecoxib treatment in patients with major depression: a double blind and placebo controlled trial. Depress Anxiety. 2009;26(7):607-611.
  14. Nery FG, Monkul ES, Hatch JP, et al. Celecoxib as an adjunct in the treatment of depressive or mixed episodes of bipolar disorder: a double-blind, randomized, placebo-controlled study. Hum Psychopharmacol. 2008;23(2):87-94.
  15. Mendlewicz J, Kriwin P, Oswald P, et al. Shortened onset of action of antidepressants in major depression using acetylsalicylic acid augmentation: a pilot open-label study. Int Clin Psychopharmacol. 2006;21(4):227-231.
 

 

Cognitive/behavioral approaches

Although large, well-designed studies of OW/OB-D patients are in the planning or pilot phases,26-28 a substantial database supports incorporating behavioral or cognitive-behavioral therapies when treating these patients.29 Patients in programs that combine behavioral approaches with diet and exercise achieve the greatest weight loss, and frequently show improved depression scores.30-32

In a randomized trial, 203 obese women with moderate to severe depression showed significant weight loss and decreased depression scores whether they were in a behavioral weight-loss program or one that combined behavioral weigh loss with cognitive-behavioral depression management.33 This study raises important questions: Did the behavioral weight-loss program effectively treat depression? Did patients’ depressive symptoms improve because of their improved sense of well-being as they lost weight? Did a putative reduction in cytokine production by fat cells improve their mood?

Treatment implications

Mrs. G has TRD, a BMI that borders on obesity, sleep problems, and lab values that suggest she may have metabolic syndrome. To best manage patients such as Mrs. G, consider the following steps:

  1. Select an antidepressant that is unlikely to cause further weight gain, such as bupropion, duloxetine, or fluoxetine.
  2. If necessary, add an augmenting agent that is not associated with weight gain, such as bupropion, aripiprazole, or lamotrigine.
  3. Verify that your patient is getting adequate sleep. Begin by reviewing the principles of sleep hygiene and, if necessary, prescribe a sedative or hypnotic medication.
  4. Although controlled clinical trials are lacking, consider including an anti-inflammatory agent such as aspirin to the pharmacologic armamentarium.
  5. Institute an exercise and diet program at the beginning of treatment. Exercise can begin with 20 to 30 minutes a day of walking. Tell patients that exercising in groups is a good way to address nonadherence and social isolation and reinforce positive lifestyle changes. Recommend that patients combine aerobic exercise to burn calories with resistance training to build muscle. Suggest that patients try to make exercising fun using video games or interactive computer-based programs.
  6. Encourage your patient to keep a journal to record his or her weight, amount and type of exercise, medication taken, and dietary intake. Review this information at every session to reinforce the importance of this integrated exercise and diet program.

Related Resources

  • Markowitz S, Friedman MA, Arent SM. Understanding the relation between obesity and depression: causal mechanisms and implications for treatment. Clinical Psychology: Science and Practice. 2008:15(1):1-20.
  • Burke LE, Wang J, Sevick MA. Self-monitoring in weight loss: a systematic review of the literature. J Am Diet Assoc. 2011;111(1):92-102.

Drug Brand Names

  • Aripiprazole • Abilify
  • Bupropion • Wellbutrin, Zyban
  • Celecoxib • Celebrex
  • Citalopram • Celexa
  • Clozapine • Clozaril
  • Divalproex • Depakote
  • Duloxetine • Cymbalta
  • Escitalopram • Lexapro
  • Fluoxetine • Prozac
  • Imipramine • Tofranil
  • Lamotrigine • Lamictal
  • Olanzapine • Zyprexa
  • Olanzapine/fluoxetine • Symbyax
  • Paroxetine • Paxil
  • Quetiapine • Seroquel
  • Risperidone • Risperdal
  • Selegiline • Emsam
  • Sertraline • Zoloft
  • Trazodone • Desyrel, Oleptro
  • Ziprasidone • Geodon

Disclosure

Dr. Crayton reports no financial relationship with any company whose products are mentioned in this article or with manufacturers of competing products.

Discuss this article at www.facebook.com/CurrentPsychiatry

Mrs. G is a 52-year-old mother and teacher with a 20-year history of recurrent depressive episodes for which she has been treated with various antidepressants, including sertraline, fluoxetine, and citalopram. For some of her depressive recurrences, she also received adjunctive second-generation antipsychotics (SGAs), including quetiapine and olanzapine.

She describes feelings of “being defeated,” hopelessness, and boredom and frustration with her teaching. It takes her approximately 30 minutes to go to sleep each night, but she wakes up after 2 to 3 hours, and the remainder of her night’s sleep is markedly disrupted. Because of her hopeless feelings, she has given up on dieting and going to the gym. When feeling down she has donuts and coffee. She has gained 45 lbs over the past 10 years and now weighs 175 lbs. In addition to her disrupted mood, she complains of frequent headaches and sore muscles.

Mrs. G’s psychiatrist refers her to her primary care physician for evaluation of her physical complaints and recommendations regarding her weight gain. Her waistline measures 90 cm and her body mass index (BMI) is 29.1 kg/m2; a BMI of ≥30 is considered obese. Her blood pressure is 145/85 mmHg. Laboratory work reveals a total cholesterol level of 235 mg/dL, low-density lipoprotein of 146 mg/dL, and fasting blood sugar, 135 mg/dL.

Mrs. G’s case illustrates many of the issues psychiatrists face when caring for overweight or obese patients with depression (OW/OB-D). Both conditions can be challenging to manage, and may be especially difficult to treat when they co-occur. When depression and obesity co-occur, their capacity to inflict psychological and physical harm likely is greater than either condition alone. Data point to a “2-way street” of mutually destructive effects of being overweight/obese on depression and vice versa.1

This article summarizes ways that depression and obesity aggravate each other, and highlights research that suggests depression and obesity are manifestations of inflammatory processes. It also suggests a stepwise approach to treating OW/OB-D patients.

Mutually destructive processes

Self-esteem and body image. Lowered self-esteem is a hallmark of depression. In popular culture, “you can’t be too rich or too thin,” and the pressure to be slim is great. Therefore, OW/OB-D patients have 2 reasons to feel a depleted sense of self-worth: their psychiatric illness and their weight. Observant clinicians will recognize these dual sources of self-deprecation and tailor treatment to address both.

Increasing numbers of celebrities, performers, and prominent politicians are overweight or obese. Increased social acceptance of OW/OB individuals in our culture may be legitimizing weight gain and obesity. When OW/OB-D patients justify their weight by pointing to overweight celebrities, clinicians can counter this argument with data on the hazards of obesity on health and well-being, such as premature death, coronary artery disease, diabetes, arthritis, and some forms of cancer.

OW/OB patients tend to interact with other OW/OB individuals. Christakis et al2 reported that adults with obese friends were more likely to become obese than individuals without obese friends. Valente et al3 found that overweight teens were twice as likely to have overweight friends as non-overweight teens. This power of social connectedness can be harnessed when treating OW/OB-D patients, where therapeutic groups can help patients address both depression and weight gain.

Inactivity. OW/OB-D patients with psychomotor retardation or reduced activity may gain weight because they consume more calories than their body requires. Depressed patients may say they “have no energy” to participate in a clinician-recommended exercise program or that “it won’t do any good anyway.”

These tendencies are best dealt with by incorporating an exercise program into the comprehensive plan for OW/OB-D patients from the start of treatment. Several studies suggest that in addition to helping manage weight, exercise may have antidepressant effects. In a large, well-controlled trial of patients with major depressive disorder (MDD), Blumenthal et al4 found that an exercise program was as effective as fluoxetine, 20 mg/d, and the antidepressant effects persisted at 10-month follow-up for patients who continued to exercise.5 In a review of studies of exercise in depressed patients, Helmich et al6 concluded that in most studies exercise was beneficial. However, Mead et al7 found that nearly all trials of exercise and depression had substantial design flaws. Based on the 3 well-designed studies they reviewed, Mead et al concluded that the efficacy of exercise was comparable to that of cognitive therapy.

Although the evidence on exercise for treating depression is inconclusive, an exercise program is essential for OW/OB-D patients because it can help manage weight and improve cardiovascular fitness. Motivation is a key ingredient of successful programs.8 Encourage patients to make exercise enjoyable, perhaps by using video games or other interactive computer-based programs.9

 

 

Sleep disturbances. Disrupted sleep— another hallmark of depression—appears to be a risk factor for weight gain.10 Although the basis for this relationship is still under investigation, one possibility is that some patients with insomnia get up to eat more often than those without sleep disturbances. Research has shown that when sleep is curtailed in a sleep laboratory, patients consume approximately 20% more calories from snacks (1,086 calories) than non-sleep-deprived patients (866 calories).11 Although this 220-calorie increase may seem small, it would amount to approximately 2 lbs of additional weight per month.

Appetite. Although weight loss is a cardinal sign of MDD, increased appetite and weight gain can be seen in many depressed patients who do not meet diagnostic criteria for MDD as well as those with seasonal affective disorder and metabolic syndrome, a condition characterized by insulin resistance, glucose intolerance, atherogenic dyslipidemia, visceral adiposity, hypercoagulation, chronic inflammation, oxidative stress, and hypertension.12

Emerging information about the neuroendocrinology of appetite regulation may lead to a better understanding of weight management in OW/OB-D patients. Leptin, a hormone released by adipose tissue, increases when fat stores are high, leading to reduced appetite and fat stores. Conversely, when fat stores are low, plasma leptin levels decrease, producing increased appetite and reduced energy expenditure.13

Researchers have suggested that leptin insufficiency and/or leptin resistance may contribute to vulnerability to depression, and leptin may have antidepressant effects.14 Lawson et al15 found that leptin levels were inversely associated with Hamilton Depression Rating Scale scores in normal-weight (BMI ≤25) women.

Leptin levels also are significantly associated with comorbid depressed mood and sleep disturbance.16 In healthy volunteers, shortening sleep duration to 4 hours produced an approximately 20% reduction in leptin release compared with normal sleep duration.17 Because of the relationship between sleep disorders and depression, leptin may act on sleep regulatory mechanisms, depressogenic pathways, or both. But studies of leptin’s role in obesity, depression, and sleep have not yet found a single role for leptin that ties all 3 conditions to this hormone’s known physiological functions.

Nonadherence. Compared with non-depressed patients, depressed patients are 76% more likely to not adhere to treatment.18 Patients may report that they are not interested in the treatment program or lack hope that it will be successful. Furthermore, OW/OB-D patients may consider exercise programs to be too strenuous and diet programs too depriving.19

OW/OB-D patients may require special care in monitoring adherence. The presence of depression in patients enrolled in weight loss programs may prompt the treatment staff to modify the usual protocol by including the patient in an active depression treatment module.20

Effects of pharmacologic agents

Many antidepressant agents are associated with weight gain.21Tables 1 and 2 summarize the effects antidepressants and adjunctive medications used to treat depression have on weight.22,23 SGAs such as clozapine and olanzapine, which frequently are used as augmenting agents in patients with treatment-resistant depression (TRD), are associated with weight gain.22 Lamotrigine also is an effective adjunctive medication for TRD and is not associated with significant weight gain.24

Bupropion has antidepressant and weight-loss effects and may be a suitable primary medication for OW/OB-D patients.

Early weight gain with olanzapine/fluoxetine combination may be a strong indicator of substantial weight gain with longer-term treatment. A weight gain of >2 kg (4.4 lbs) during the first 2 weeks of treatment is a strong predictor of weight gain of ≥10 kg (22 lbs) at 26 weeks.25

Antidepressants may be associated with an increased risk of obesity, and strategies to offset this risk may be useful in clinical practice, particularly patient education on the risks of weight gain and early introduction of a diet and exercise program.

Evidence suggests that depression and obesity are associated with alterations in immune activity (Box). This suggests that anti-inflammatory agents might have a role in treating depression by reducing the release of cytokines that may lead to depressive symptoms.

Table 1

Pharmacotherapy and weight gain: Antidepressants

AgentEffect on weight
SSRIs
ParoxetineModerate gain
FluoxetineEarly: weight loss
Long-term: moderate gain
SNRIs
DuloxetineMinimal gain
EscitalopramModerate gain
Other agents
Imipramine (TCA)Moderate gain
Selegiline (MAOI)Moderate gain
Trazodone (tetracyclic)Moderate gain
Bupropion (atypical)Moderate loss
MAOI: monoamine oxidase inhibitor; SNRIs: serotonin-norepinephrine reuptake inhibitors; SSRIs: selective serotonin reuptake inhibitors; TCA: tricyclic antidepressant
Source: References 22,23
 

 

Table 2

Pharmacotherapy and weight gain: Adjunctive agents

AgentUse in depressionEffect on weight
SGAs
OlanzapinePsychotic depressionLarge gain
ClozapineAdjunct; psychotic depressionLarge gain
QuetiapinePrimary; adjunctLarge gain
AripiprazoleAdjunctSmall gain
RisperidonePsychotic depressionSmall gain
ZiprasidonePsychotic depressionSmall loss
Mood stabilizers
DivalproexTreatment resistance, bipolar disorderModerate to large gain
LamotrigineTreatment resistanceNeutral
SGAs: second-generation antipsychotics
Source: References 22,23

Box

Depression and obesity: The ‘inflammation connection’

Research suggests that both depression and obesity are associated with immune dysregulation and inflammation.a-d Although the complexities of these interactions are beyond the scope of this article, having a model for understanding the role of inflammation in overweight or obese patients with depression (OW/OB-D) may be useful. Data supporting a role for immune dysregulation in OW/OB-D patients rests on the following findings:

Fat and muscle are endocrine organs: Fat is not just a storage organ for energy-rich lipids but also a rich source of cytokines, including monocyte chemotactic protein-1 (MCP-1), interleukin-2, and tumor necrosis factor-α (TNF-α). The increase in MCP-1 in fat tissue triggers a cascade of events that leads to chronic inflammation in adipose tissue. These substances can be released into circulation, stimulating inflammatory responses in other tissues. Data suggest that obesity’s effects on cardiovascular disease are mediated by these adipose-derived inflammatory hormones. There is a strong relationship between the volume of adipose tissue and the amount of pro-inflammatory hormones released; therefore, reducing weight reduces inflammatory burden on the body.

Pedersene pointed out that muscle also is an endocrine organ. Among the cytokines (or “myokines”) muscle produces are interleukin-6 (IL-6), interleukin-8, and brain-derived neurotrophic factor. During exercise, the amount of IL-6 released from muscles may increase by 100-fold. Although IL-6 usually is considered a pro-inflammatory regulator, it—or other muscle-derived myokines—may be responsible for some of exercise’s beneficial effects.e

If this hypothesis is correct, patients whose exercise includes resistance training—which increases muscle mass—are not just getting stronger or burning calories but may be facilitating release of hormones that could counteract obesity’s inflammatory effects.

Cytokine levels are elevated in depression and obesity: A substantial body of evidence shows that depressed patients have elevated circulating levels of inflammation markers. In particular, the proinflammatory cytokines IL-6 and interleukin-1β and the acute phase reactant C-reactive protein (CRP) are elevated in depressed patients.f Studies also show that blood levels of IL-6, TNF-α, and CRP are elevated in obese patients.g

Fat-derived cytokines alter metabolic pathways related to mood and inflammation: Among the many possible pathways linking cytokine actions and depression, the effects of TNF-α on serotonin metabolism have been studied extensively.h,i TNF-α activates brain indoleamine 2,3-dioxygenase, leading to rapid depletion of serotonin and exacerbation of depressive symptoms.j

Regarding physical problems, evidence suggests adipose-tissue-derived pro-inflammatory agents are involved in development of metabolic syndrome, a condition characterized by insulin resistance, glucose intolerance, atherogenic dyslipidemia, visceral adiposity, hypercoagulation, chronic inflammation, oxidative stress, and hypertension.k These conditions are strong risk factors for type II diabetes, coronary artery disease, hypertension, and stroke.

Anti-inflammatory agents for depression

Data suggest a model in which weight gain leads to an increase in pro-inflammatory cytokines. When released into the circulation, these cytokines produce a variety of deleterious effects, including blockade of serotonin synthesis in the brain that leads to depressive symptoms. Evidence suggests that anti-inflammatory agents might disrupt this process.

Celecoxib. The anti-inflammatory agent celecoxib acts by inhibiting cyclooxygenase-2, the rate-limiting enzyme in the synthesis of prostaglandin, a powerful inflammation mediator. Three double-blind, placebo-controlled trials have compared groups of:

  • depressed patients receiving reboxetine with and without celecoxibl or fluoxetine, 40 mg/d, with and without celecoxibm
  • bipolar disorder patients taking mood stabilizers or atypical antipsychotics with and without celecoxib, 400 mg/d.n

These studies suggest that celecoxib may accelerate improvement in depressive symptoms. Celecoxib’s potential for increased cardiovascular risk may limit its use.

Aspirin. Mendlewicz et alo conducted an open-label study in which 24 depressed patients who failed to respond to 4 weeks of antidepressant treatment received adjunctive acetylsalicylic acid, 160 mg/d, for another 4 weeks. They found that 52% of patients responded when aspirin was added to their regimen, and the improvement was seen during the first week of treatment.

References

  1. Shelton RC, Miller AH. Inflammation in depression: is adiposity a cause? Dialogues Clin Neurosci. 2011;13(1):41-53.
  2. Shelton RC, Miller AH. Eating ourselves to death (and despair): the contribution of adiposity and inflammation to depression. Prog Neurobiol. 2010;91(4):275-299.
  3. Soczynska JK, Kennedy SH, Woldeyohannes HO, et al. Mood disorders and obesity: understanding inflammation as a pathophysiological nexus. Neuromolecular Med. 2011;13(2):93-116.
  4. Lumeng CN, Saltiel AR. Inflammatory links between obesity and metabolic disease. J Clin Invest. 2011;121(6):2111-2117.
  5. Pedersen BK. Muscles and their myokines. J Exp Biol. 2011;214(Pt 2):337-346.
  6. Maes M, Kubera M, Obuchowiczwa E, et al. Depression’s multiple comorbidities explained by (neuro)inflammatory and oxidative & nitrosative stress pathways. Neuro Endocrinol Lett. 2011;32(1):7-24.
  7. Khaodhiar L, Ling PR, Blackburn GL, et al. Serum levels of interleukin-6 and C-reactive protein correlate with body mass index across the broad range of obesity. JPEN J Parenter Enteral Nutr. 2004;28(6):410-415.
  8. Capuron L, Miller AH. Immune system to brain signaling: neuropsychopharmacological implications. Pharmacol Ther. 2011;130(2):226-238.
  9. Miller AH, Maletic V, Raison CL. Inflammation and its discontents: the role of cytokines in the pathophysiology of major depression. Biol Psychiatry. 2009;65(9):732-741.
  10. O’Connor JC, André C, Wang Y, et al. Interferon-gamma and tumor necrosis factor-alpha mediate the upregulation of indoleamine 2,3-dioxygenase and the induction of depressive-like behavior in mice in response to bacillus Calmette-Guerin. J Neurosci. 2009;29(13):4200-4209.
  11. Ford ES, Giles WH, Dietz WH. Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. JAMA. 2002;287(3):356-359.
  12. Müller N, Schwarz MJ, Dehning S, et al. The cyclooxygenase-2 inhibitor celecoxib has therapeutic effects in major depression: results of a double-blind, randomized, placebo controlled, add-on pilot study to reboxetine. Mol Psychiatry. 2006;11(7):680-684.
  13. Akhondzadeh S, Jafari S, Raisi F, et al. Clinical trial of adjunctive celecoxib treatment in patients with major depression: a double blind and placebo controlled trial. Depress Anxiety. 2009;26(7):607-611.
  14. Nery FG, Monkul ES, Hatch JP, et al. Celecoxib as an adjunct in the treatment of depressive or mixed episodes of bipolar disorder: a double-blind, randomized, placebo-controlled study. Hum Psychopharmacol. 2008;23(2):87-94.
  15. Mendlewicz J, Kriwin P, Oswald P, et al. Shortened onset of action of antidepressants in major depression using acetylsalicylic acid augmentation: a pilot open-label study. Int Clin Psychopharmacol. 2006;21(4):227-231.
 

 

Cognitive/behavioral approaches

Although large, well-designed studies of OW/OB-D patients are in the planning or pilot phases,26-28 a substantial database supports incorporating behavioral or cognitive-behavioral therapies when treating these patients.29 Patients in programs that combine behavioral approaches with diet and exercise achieve the greatest weight loss, and frequently show improved depression scores.30-32

In a randomized trial, 203 obese women with moderate to severe depression showed significant weight loss and decreased depression scores whether they were in a behavioral weight-loss program or one that combined behavioral weigh loss with cognitive-behavioral depression management.33 This study raises important questions: Did the behavioral weight-loss program effectively treat depression? Did patients’ depressive symptoms improve because of their improved sense of well-being as they lost weight? Did a putative reduction in cytokine production by fat cells improve their mood?

Treatment implications

Mrs. G has TRD, a BMI that borders on obesity, sleep problems, and lab values that suggest she may have metabolic syndrome. To best manage patients such as Mrs. G, consider the following steps:

  1. Select an antidepressant that is unlikely to cause further weight gain, such as bupropion, duloxetine, or fluoxetine.
  2. If necessary, add an augmenting agent that is not associated with weight gain, such as bupropion, aripiprazole, or lamotrigine.
  3. Verify that your patient is getting adequate sleep. Begin by reviewing the principles of sleep hygiene and, if necessary, prescribe a sedative or hypnotic medication.
  4. Although controlled clinical trials are lacking, consider including an anti-inflammatory agent such as aspirin to the pharmacologic armamentarium.
  5. Institute an exercise and diet program at the beginning of treatment. Exercise can begin with 20 to 30 minutes a day of walking. Tell patients that exercising in groups is a good way to address nonadherence and social isolation and reinforce positive lifestyle changes. Recommend that patients combine aerobic exercise to burn calories with resistance training to build muscle. Suggest that patients try to make exercising fun using video games or interactive computer-based programs.
  6. Encourage your patient to keep a journal to record his or her weight, amount and type of exercise, medication taken, and dietary intake. Review this information at every session to reinforce the importance of this integrated exercise and diet program.

Related Resources

  • Markowitz S, Friedman MA, Arent SM. Understanding the relation between obesity and depression: causal mechanisms and implications for treatment. Clinical Psychology: Science and Practice. 2008:15(1):1-20.
  • Burke LE, Wang J, Sevick MA. Self-monitoring in weight loss: a systematic review of the literature. J Am Diet Assoc. 2011;111(1):92-102.

Drug Brand Names

  • Aripiprazole • Abilify
  • Bupropion • Wellbutrin, Zyban
  • Celecoxib • Celebrex
  • Citalopram • Celexa
  • Clozapine • Clozaril
  • Divalproex • Depakote
  • Duloxetine • Cymbalta
  • Escitalopram • Lexapro
  • Fluoxetine • Prozac
  • Imipramine • Tofranil
  • Lamotrigine • Lamictal
  • Olanzapine • Zyprexa
  • Olanzapine/fluoxetine • Symbyax
  • Paroxetine • Paxil
  • Quetiapine • Seroquel
  • Risperidone • Risperdal
  • Selegiline • Emsam
  • Sertraline • Zoloft
  • Trazodone • Desyrel, Oleptro
  • Ziprasidone • Geodon

Disclosure

Dr. Crayton reports no financial relationship with any company whose products are mentioned in this article or with manufacturers of competing products.

References

1. Luppino FS, de Wit LM, Bouvy PF, et al. Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry. 2010;67(3):220-229.

2. Christakis NA, Fowler JH. The spread of obesity in a large social network over 32 years. N Engl J Med. 2007;357(4):370-379.

3. Valente TW, Fujimoto K, Chou CP, et al. Adolescent affiliations and adiposity: a social network analysis of friendships and obesity. J Adolesc Health. 2009;45(2):202-204.

4. Blumenthal JA, Babyak MA, Doraiswamy PM, et al. Exercise and pharmacotherapy in the treatment of major depressive disorder. Psychosom Med. 2007;69(7):587-596.

5. Babyak M, Blumenthal JA, Herman S, et al. Exercise treatment for major depression: maintenance of therapeutic benefit at 10 months. Psychosom Med. 2000;62(5):633-638.

6. Helmich I, Latini A, Sigwalt A, et al. Neurobiological alterations induced by exercise and their impact on depressive disorders [corrected]. Clin Pract Epidemiol Ment Health. 2010;6:115-125.

7. Mead GE, Morley W, Campbell P, et al. Exercise for depression. Cochrane Database Syst Rev. 2009;(3):CD004366.

8. Tse J, Chow E, Sultana-Cordero R, et al. Motivation-based interventions for obesity in serious mental illness. Psychiatric Ann. 2011;41(10):473-477.

9. Rosenberg D, Depp CA, Vahia IV, et al. Exergames for subsyndromal depression in older adults: a pilot study of a novel intervention. Am J Geriatr Psychiatry. 2010;18(3):221-226.

10. Knutson KL, Van Cauter E. Associations between sleep loss and increased risk of obesity and diabetes. Ann N Y Acad Sci. 2008;1129:287-304.

11. Nedeltcheva AV, Kilkus JM, Imperial J, et al. Sleep curtailment is accompanied by increased intake of calories from snacks. Am J Clin Nutr. 2009;89(1):126-133.

12. Isomaa B. A major health hazard: the metabolic syndrome. Life Sci. 2003;73(19):2395-2411.

13. Friedman JM. Leptin at 14 y of age: an ongoing story. Am J Clin Nutr. 2009;89(3):973S-979S.

14. Lu XY. The leptin hypothesis of depression: a potential link between mood disorders and obesity? Curr Opin Pharmacol. 2007;7(6):648-652.

15. Lawson EA, Miller KK, Blum JI, et al. Leptin levels are associated with decreased depressive symptoms in women across the weight spectrum, independent of body fat. Clin Endocrinol (Oxf). 2012;76(4):520-525.

16. Häfner S, Baumert J, Emeny RT, et al. Sleep disturbances and depressed mood: a harmful combination associated with increased leptin levels in women with normal weight. Biol Psychol. 2012;89(1):163-169.

17. Spiegel K, Leproult R, L’hermite-Balériaux M, et al. Leptin levels are dependent on sleep duration: relationships with sympathovagal balance, carbohydrate regulation, cortisol, and thyrotropin. J Clin Endocrinol Metab. 2004;89(11):5762-5771.

18. Grenard JL, Munjas BA, Adams JL, et al. Depression and medication adherence in the treatment of chronic diseases in the United States: a meta-analysis. J Gen Intern Med. 2011;26(10):1175-1182.

19. Gonzalez JS, Safren SA, Delahanty LM, et al. Symptoms of depression prospectively predict poorer self-care in patients with Type 2 diabetes. Diabet Med. 2008;25(9):1102-1107.

20. Somerset SM, Graham L, Markwell K. Depression scores predict adherence in a dietary weight loss intervention trial. Clin Nutr. 2011;30(5):593-598.

21. Patten SB, Williams JV, Lavorato DH, et al. Major depression, antidepressant medication and the risk of obesity. Psychother Psychosom. 2009;78(3):182-186.

22. Nihalani N, Schwartz TL, Siddiqui UA, et al. Weight gain, obesity, and psychotropic prescribing. J Obes. 2011;2011:893629.

23. Serretti A, Mandelli L. Antidepressants and body weight: a comprehensive review and meta-analysis. J Clin Psychiatry. 2010;71(10):1259-1272.

24. Gabriel A. Lamotrigine adjunctive treatment in resistant unipolar depression: an open, descriptive study. Depress Anxiety. 2006;23(8):485-488.

25. Degenhardt EK, Jamal HH, Tormey S, et al. Early weight gain as a predictor of substantial weight gain with olanzapine/fluoxetine combination: an analysis of 2 adult studies in treatment-resistant depression. J Clin Psychopharmacol. 2011;31(3):337-340.

26. Faulconbridge LF, Wadden TA, Berkowitz RI, et al. Treatment of comorbid obesity and major depressive disorder: a prospective pilot study for their combined treatment. J Obes. 2011;2011:870385.

27. Schneider KL, Bodenlos JS, Ma Y, et al. Design and methods for a randomized clinical trial treating comorbid obesity and major depressive disorder. BMC Psychiatry. 2008;8:77.

28. Pagoto S, Bodenlos JS, Schneider KL, et al. Initial investigation of behavioral activation therapy for co-morbid major depressive disorder and obesity. Psychotherapy (Chic). 2008;45(3):410-415.

29. Shaw K, O’Rourke P, Del Mar C, et al. Psychological interventions for overweight or obesity. Cochrane Database Syst Rev. 2005;(2):CD003818.

30. Thieszen CL, Merrill RM, Aldana SG, et al. The Coronary Health Improvement Project (CHIP) for lowering weight and improving psychosocial health. Psychol Rep. 2011;109(1):338-352.

31. Fabricatore AN, Wadden TA, Higginbotham AJ, et al. Intentional weight loss and changes in symptoms of depression: a systematic review and meta-analysis. Int J Obes (Lond). 2011;35(11):1363-1376.

32. Simon GE, Rohde P, Ludman EJ, et al. Association between change in depression and change in weight among women enrolled in weight loss treatment. Gen Hosp Psychiatry. 2010;32(6):583-589.

33. Linde JA, Simon GE, Ludman EJ, et al. A randomized controlled trial of behavioral weight loss treatment versus combined weight loss/depression treatment among women with comorbid obesity and depression. Ann Behav Med. 2011;41(1):119-130.

References

1. Luppino FS, de Wit LM, Bouvy PF, et al. Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry. 2010;67(3):220-229.

2. Christakis NA, Fowler JH. The spread of obesity in a large social network over 32 years. N Engl J Med. 2007;357(4):370-379.

3. Valente TW, Fujimoto K, Chou CP, et al. Adolescent affiliations and adiposity: a social network analysis of friendships and obesity. J Adolesc Health. 2009;45(2):202-204.

4. Blumenthal JA, Babyak MA, Doraiswamy PM, et al. Exercise and pharmacotherapy in the treatment of major depressive disorder. Psychosom Med. 2007;69(7):587-596.

5. Babyak M, Blumenthal JA, Herman S, et al. Exercise treatment for major depression: maintenance of therapeutic benefit at 10 months. Psychosom Med. 2000;62(5):633-638.

6. Helmich I, Latini A, Sigwalt A, et al. Neurobiological alterations induced by exercise and their impact on depressive disorders [corrected]. Clin Pract Epidemiol Ment Health. 2010;6:115-125.

7. Mead GE, Morley W, Campbell P, et al. Exercise for depression. Cochrane Database Syst Rev. 2009;(3):CD004366.

8. Tse J, Chow E, Sultana-Cordero R, et al. Motivation-based interventions for obesity in serious mental illness. Psychiatric Ann. 2011;41(10):473-477.

9. Rosenberg D, Depp CA, Vahia IV, et al. Exergames for subsyndromal depression in older adults: a pilot study of a novel intervention. Am J Geriatr Psychiatry. 2010;18(3):221-226.

10. Knutson KL, Van Cauter E. Associations between sleep loss and increased risk of obesity and diabetes. Ann N Y Acad Sci. 2008;1129:287-304.

11. Nedeltcheva AV, Kilkus JM, Imperial J, et al. Sleep curtailment is accompanied by increased intake of calories from snacks. Am J Clin Nutr. 2009;89(1):126-133.

12. Isomaa B. A major health hazard: the metabolic syndrome. Life Sci. 2003;73(19):2395-2411.

13. Friedman JM. Leptin at 14 y of age: an ongoing story. Am J Clin Nutr. 2009;89(3):973S-979S.

14. Lu XY. The leptin hypothesis of depression: a potential link between mood disorders and obesity? Curr Opin Pharmacol. 2007;7(6):648-652.

15. Lawson EA, Miller KK, Blum JI, et al. Leptin levels are associated with decreased depressive symptoms in women across the weight spectrum, independent of body fat. Clin Endocrinol (Oxf). 2012;76(4):520-525.

16. Häfner S, Baumert J, Emeny RT, et al. Sleep disturbances and depressed mood: a harmful combination associated with increased leptin levels in women with normal weight. Biol Psychol. 2012;89(1):163-169.

17. Spiegel K, Leproult R, L’hermite-Balériaux M, et al. Leptin levels are dependent on sleep duration: relationships with sympathovagal balance, carbohydrate regulation, cortisol, and thyrotropin. J Clin Endocrinol Metab. 2004;89(11):5762-5771.

18. Grenard JL, Munjas BA, Adams JL, et al. Depression and medication adherence in the treatment of chronic diseases in the United States: a meta-analysis. J Gen Intern Med. 2011;26(10):1175-1182.

19. Gonzalez JS, Safren SA, Delahanty LM, et al. Symptoms of depression prospectively predict poorer self-care in patients with Type 2 diabetes. Diabet Med. 2008;25(9):1102-1107.

20. Somerset SM, Graham L, Markwell K. Depression scores predict adherence in a dietary weight loss intervention trial. Clin Nutr. 2011;30(5):593-598.

21. Patten SB, Williams JV, Lavorato DH, et al. Major depression, antidepressant medication and the risk of obesity. Psychother Psychosom. 2009;78(3):182-186.

22. Nihalani N, Schwartz TL, Siddiqui UA, et al. Weight gain, obesity, and psychotropic prescribing. J Obes. 2011;2011:893629.

23. Serretti A, Mandelli L. Antidepressants and body weight: a comprehensive review and meta-analysis. J Clin Psychiatry. 2010;71(10):1259-1272.

24. Gabriel A. Lamotrigine adjunctive treatment in resistant unipolar depression: an open, descriptive study. Depress Anxiety. 2006;23(8):485-488.

25. Degenhardt EK, Jamal HH, Tormey S, et al. Early weight gain as a predictor of substantial weight gain with olanzapine/fluoxetine combination: an analysis of 2 adult studies in treatment-resistant depression. J Clin Psychopharmacol. 2011;31(3):337-340.

26. Faulconbridge LF, Wadden TA, Berkowitz RI, et al. Treatment of comorbid obesity and major depressive disorder: a prospective pilot study for their combined treatment. J Obes. 2011;2011:870385.

27. Schneider KL, Bodenlos JS, Ma Y, et al. Design and methods for a randomized clinical trial treating comorbid obesity and major depressive disorder. BMC Psychiatry. 2008;8:77.

28. Pagoto S, Bodenlos JS, Schneider KL, et al. Initial investigation of behavioral activation therapy for co-morbid major depressive disorder and obesity. Psychotherapy (Chic). 2008;45(3):410-415.

29. Shaw K, O’Rourke P, Del Mar C, et al. Psychological interventions for overweight or obesity. Cochrane Database Syst Rev. 2005;(2):CD003818.

30. Thieszen CL, Merrill RM, Aldana SG, et al. The Coronary Health Improvement Project (CHIP) for lowering weight and improving psychosocial health. Psychol Rep. 2011;109(1):338-352.

31. Fabricatore AN, Wadden TA, Higginbotham AJ, et al. Intentional weight loss and changes in symptoms of depression: a systematic review and meta-analysis. Int J Obes (Lond). 2011;35(11):1363-1376.

32. Simon GE, Rohde P, Ludman EJ, et al. Association between change in depression and change in weight among women enrolled in weight loss treatment. Gen Hosp Psychiatry. 2010;32(6):583-589.

33. Linde JA, Simon GE, Ludman EJ, et al. A randomized controlled trial of behavioral weight loss treatment versus combined weight loss/depression treatment among women with comorbid obesity and depression. Ann Behav Med. 2011;41(1):119-130.

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Current Psychiatry - 11(07)
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Current Psychiatry - 11(07)
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How to manage depression in overweight or obese patients
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