Literature DB >> 23380487

Clinical characteristics as a function of referral status among substance users in residential treatment.

Anne N Banducci1, Jennifer Dahne, Jessica F Magidson, Kevin Chen, Stacey B Daughters, C W Lejuez.   

Abstract

In the United States, substance users who voluntarily (VO) elect to receive treatment and substance users who are court-mandated (CM) to receive treatment typically obtain care within the same facilities. Little is known about the clinical characteristics that differentiate these individuals. The current study provides rates of specific DSM-IV Axis I and Axis II psychiatric and substance use disorders, comorbidities, childhood trauma, motivation, and other clinical and demographic characteristics as a function of referral status, among individuals in residential substance use treatment (463 participants, M age=43.3; 69.7% male; 88.4% African American). Participants were interviewed and diagnosed using the Structure Clinical Interview for DSM-IV and the Diagnostic Interview for Personality Disorders. Within our sample, VO individuals, as compared to CM individuals had significantly higher rates of psychiatric disorders (68.7% versus 55.2%, respectively), including mood disorders, major depressive disorder, generalized anxiety disorder, and borderline personality disorder. Additionally, they were significantly more likely to have alcohol dependence (43.0% versus 20.8%) and cocaine dependence (66.5% versus 48.9%). Elevated rates of comorbidities and childhood abuse were also observed among VO individuals, while motivation did not differ as a function of referral status. Overall, VO individuals appeared to have more severe problems than their CM counterparts which may suggest that they require more intensive or different types of treatment.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23380487      PMCID: PMC3578165          DOI: 10.1016/j.addbeh.2012.12.015

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


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