Comparable efficacy of behavioral and pharmacological treatments among African American and White cocaine users

J Ethn Subst Abuse. 2017 Oct-Dec;16(4):445-459. doi: 10.1080/15332640.2017.1308287. Epub 2017 Apr 25.

Abstract

Multiple randomized clinical trials (RCTs) have evaluated a range of treatments for cocaine dependence, but few of these have focused specifically on the racial diversity observed among cocaine-dependent patients. The present analyses evaluated racial variation in cocaine use and addiction-related psychosocial outcomes at baseline and follow-up among 388 African American and White adults participating in 1 of 5 RCTs evaluating a range of pharmacological and behavioral treatments for cocaine use disorders. General linear modeling (GLM) indicated significant racial variation in cocaine and psychosocial indicators at baseline. At baseline, there were significant racial differences in the number of days paid for work in the 30 days prior to the study, age, days of cocaine use in the past month, age of first cocaine use, psychosocial problems (i.e., employment, cocaine, legal, and family), public assistance status, and prevalence of lifetime anxiety disorders. There were no significant main or interaction effects of race and study on treatment outcomes at posttreatment. These findings suggest that despite significant racial differences at baseline, the pharmacological and behavioral treatments resulted in fairly comparable outcomes across racial groups in these 5 RCTs.

Keywords: Adults; African American; White; cocaine; treatment.

MeSH terms

  • Adult
  • Behavior Therapy / methods*
  • Black or African American / psychology
  • Black or African American / statistics & numerical data*
  • Cocaine-Related Disorders / ethnology
  • Cocaine-Related Disorders / psychology
  • Cocaine-Related Disorders / therapy*
  • Female
  • Follow-Up Studies
  • Humans
  • Linear Models
  • Male
  • Middle Aged
  • Randomized Controlled Trials as Topic
  • Treatment Outcome
  • White People / psychology
  • White People / statistics & numerical data*