The prevalence of psychiatric disorder among a community sample of crack cocaine users: an exploratory study with practical implications.

Abstract

The Diagnostic Interview Schedule for DSM-IV was used to assess the lifetime prevalence of psychiatric disorder among not-in-treatment crack cocaine users (N = 313). The most common dependencies involved cocaine (59.7%), alcohol (37.7%), and cannabis (12.1%). The most common nondependency disorders were antisocial personality disorder (ASPD; 24%), depression (17.8%), and posttraumatic stress disorder (PTSD; 11.8%). Comorbidity was present in 36.4% of the sample. Proportionately more white than black users were dependent on cocaine, alcohol, amphetamine, and sedative-hypnotics. More white than black users experienced ASPD, depression, PTSD, and attention deficit disorder. Proportionately fewer black users suffered comorbid disorders. Proportionately more men had ASPD, whereas more women had PTSD and phobias. Multinominal modeling revealed that black users and users with a high school education were less likely to have comorbid disorders; married users were less likely to have nondependency disorders. White crack users were more likely to have comorbidity, complicating their treatment.

• Authors: Russel S Falck, Jichuan Wang, Harvey A Siegal, Robert G Carlson
• Journal: The Journal of nervous and mental disease (J Nerv Ment Dis) Vol. 192 Issue 7 Pg. 503-7 (Jul 2004) ISSN: 0022-3018 [Print] United States
• PMID: 15232321 (Publication Type: Comparative Study, Journal Article, Research Support, U.S. Gov't, P.H.S.)

Chemical References

• Crack Cocaine

Topics

• Adult
• Black or African American (psychology, statistics & numerical data)
• Cocaine-Related Disorders (diagnosis, epidemiology)
• Comorbidity
• Crack Cocaine
• Diagnosis, Dual (Psychiatry)
• Diagnostic and Statistical Manual of Mental Disorders
• Educational Status
• Female
• Humans
• Male
• Marital Status
• Mental Disorders (diagnosis, epidemiology)
• Prevalence
• Psychiatric Status Rating Scales
• Sex Distribution
• Sex Factors
• White People (psychology, statistics & numerical data)