Study Notes on Opiate Antagonists and Pathological Gambling

Predicting Response to Opiate Antagonists and Placebo in the Treatment of Pathological Gambling

Introduction

  • Authors: Jon E. Grant, J.D., M.D., M.P.H.; Suck Won Kim, M.D.; Eric Hollander, M.D.; Marc N. Potenza, M.D., Ph.D.
  • Affiliations: University of Minnesota School of Medicine, Mount Sinai School of Medicine, Yale University School of Medicine
  • Abstract: Describes the study aimed at identifying predictors of treatment outcomes for individuals with pathological gambling (PG) receiving opiate antagonists.

Rationale

  • Opiate antagonists have demonstrated potential in treating PG. However, responses to these medications vary among individuals. No prior studies have systematically examined predictors influencing treatment outcomes in PG.
  • Emphasizes the need for understanding clinical variables to develop treatment algorithms for PG.

Objectives

  • To identify clinical variables associated with treatment responses among PG subjects receiving opiate antagonists.

Methods

  • Sample Size: 284 subjects with DSM-IV PG (137 women, 48.2%) were treated in two double-blind placebo-controlled trials, one involving 16 weeks of nalmefene and another with 18 weeks of naltrexone.
  • Assessment Tool: Gambling severity was assessed with the Yale Brown Obsessive Compulsive Scale Modified for Pathological Gambling (PG-YBOCS). A positive response was defined as a ≥ 35% reduction in the PG-YBOCS score for at least one month by the study endpoint.
  • Variables Analyzed: Included depression, anxiety, and psychosocial functioning utilizing stepwise logistic regression analyses to identify factors linked to treatment response.

Results

  • Key Finding: A positive family history of alcoholism was the strongest predictor of positive responses to an opiate antagonist (p = 0.006).
  • Additional Findings:
    • In subjects on higher doses of opiate antagonists, the intensity of gambling urges (measured by the PG-YBOCS urge subscale) was positively associated with treatment response on a trend level (p = 0.036).
    • For placebo responses, younger age correlated with positive treatment outcomes (p = 0.012).

Conclusion

  • The findings suggest a familial influence on treatment response, highlighting the need for future research to explore specific genetic factors affecting responsiveness to opiate antagonists.

Keywords

  • opiate antagonists; impulsivity; impulse control disorders; addiction; pharmacotherapy; placebo

Introduction to the Efficacy of Opiate Antagonists in PG

  • Established Efficacy: Three placebo-controlled studies have validated the efficacy of opiate antagonists for treating PG.
  • Mechanism of Action: Likely involves opioidergic modulation of mesolimbic dopamine pathways leading to decreased gambling urges, as shown in studies examining their effects in other addictions (e.g., alcohol, heroin).
  • Response Rates: 10% to 30% of treated PG patients show no significant improvement with opiate antagonists, necessitating the identification of predictive factors for treatment success.

Study Design & Subjects

  • Study Basis: Data came from two double-blind placebo-controlled trials involving nalmefene (n=207) and naltrexone (n=77).
  • Inclusion Criteria:
    • DSM-IV criteria for PG
    • Minimum score of ≥5 on the South Oaks Gambling Screen (SOGS)
  • Exclusion Criteria:
    • Infrequent gambling, unstable medical conditions, current psychotic or substance use disorders, among others.

Assessments

  • Psychiatric Comorbidity: Assessed using the Structured Clinical Interview for DSM-IV (SCID).
  • Clinical Information: Collected through a semi-structured questionnaire administered by blind raters.
  • Primary Outcome Measure: PG-YBOCS, which assesses gambling symptoms over the last week.
  • Secondary Measures: Included the Sheehan Disability Scale (SDS), Hamilton Anxiety Rating Scale (HAM-A), and Hamilton Depression Rating Scale (HAM-D).

Data Analysis

  • Definition of Treatment Response: A 35% or more reduction in PG-YBOCS total score for at least one month; this correlates with clinically significant changes in PG.
  • Statistical Methods: Cox regression models conducted to analyze response predictors, incorporating variables such as age, gender, and family history of alcoholism, with adjusted alpha levels for multiple comparisons set at p < 0.01.

Subject Characteristics

  • Demography: The average age was 45.9 years (±11.4) with a range of 19-72; demographics were consistent across treatment and placebo groups.
  • Prevalence of Co-occurring Disorders: 23.9% of subjects had mood disorders, with no associations found between co-occurring disorders and treatment response.

Response Results to Opiate Antagonists

  • Key Findings:
    • Family history of alcoholism (HR = 1.74, p = 0.006) was significantly correlated with treatment success.
    • Baseline urges to gamble had trend association with responders to higher doses, suggesting potential dosage modulation effects in treatment efficacy.

Response Results to Placebo

  • Placebo Analysis: Younger age significantly predicted placebo response (HR = 0.70, p = 0.012); with each 10-year increment, the likelihood of placebo response decreased by 30%.
  • Discussion of Placebo: Indicates that understanding placebo responses is critical; factors impacting placebo power differ from those affecting medication efficacy.

Discussion

  • Clinical Implications: Strong family history and gambling urges can guide treatment approaches for PG; future research should explore the role of genetic factors and other medications.
  • Possible endophenotypic links between PG and alcohol dependence highlight the potential for behavioral addiction categorization, lending importance to both clinical practice and research.

Acknowledgements

  • The research received funding from various grants and awards, ensuring compliance with relevant ethical standards.