Prevalence and predictors of cheating on antabuse: Is antabuse a cure or merely an obstacle?

Descriptive tables and multivariate logistic regression models are used to explore the prevalence and predictors of consumption of alcohol (cheating) among a sample of clients being administered disulfiram (hereafter referred to as Antabuse) as part of a court-ordered alcohol treatment program for a...

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Bibliographic Details
Main Author: Mustard, Sarah (Author)
Contributors: May, David C. ; Phillips, Daniel W.
Format: Electronic Article
Language:English
Published: 2006
In: American journal of criminal justice
Year: 2006, Volume: 31, Issue: 1, Pages: 51-63
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Keywords:
Alcohol Treatment
Antabuse
Multivariate Logistic Regression Model
Criminal Justice System
Criminal Justice
Description
Summary:Descriptive tables and multivariate logistic regression models are used to explore the prevalence and predictors of consumption of alcohol (cheating) among a sample of clients being administered disulfiram (hereafter referred to as Antabuse) as part of a court-ordered alcohol treatment program for alcohol-related arrests. One in three respondents admitted to drinking alcohol while clients in a program where they were administered Antabuse as part of their court-ordered alcohol treatment. The results from the multivariate logistic regression models reveal that there are no significant differences in cheating by gender, race, age, and education. Additionally, those respondents who agreed that they would continue to drink upon completion of the alcohol treatment program were significantly more likely to have cheated than their counterparts without those intentions. Policy implications of these findings and ideas for future research are also discussed.
ISSN:1936-1351
DOI:10.1007/BF02885684