Abstract
Interventions to reduce the likelihood of relapse, or a return to substance abuse after a period of abstinence, are important components of substance abuse treatment. Treatment interventions for adolescence with substance use disorders should incorporate principles of relapse prevention. The relapse prevention model advanced by Marlatt and Gordon and others in the addiction field is a self-control model, based on a cognitive-behavioral approach. This model stands in contrast to a disease model, which many in the medical field have adhered to. This paper presents a summary of the key features of Marlatt and Gordons cognitive-behavioral approach to relapse prevention.
Keywords: Alcohol use disorders, treatment, substance use disorders, Interventions, relapse, abstinence, relapse prevention, addiction, self-control, cognitive-behavioral
Adolescent Psychiatry
Title: Relapse Prevention
Volume: 1 Issue: 2
Author(s): Richard Rosner
Affiliation:
Keywords: Alcohol use disorders, treatment, substance use disorders, Interventions, relapse, abstinence, relapse prevention, addiction, self-control, cognitive-behavioral
Abstract: Interventions to reduce the likelihood of relapse, or a return to substance abuse after a period of abstinence, are important components of substance abuse treatment. Treatment interventions for adolescence with substance use disorders should incorporate principles of relapse prevention. The relapse prevention model advanced by Marlatt and Gordon and others in the addiction field is a self-control model, based on a cognitive-behavioral approach. This model stands in contrast to a disease model, which many in the medical field have adhered to. This paper presents a summary of the key features of Marlatt and Gordons cognitive-behavioral approach to relapse prevention.
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Cite this article as:
Rosner Richard, Relapse Prevention, Adolescent Psychiatry 2011; 1 (2) . https://dx.doi.org/10.2174/2210676611101020131
DOI https://dx.doi.org/10.2174/2210676611101020131 |
Print ISSN 2210-6766 |
Publisher Name Bentham Science Publisher |
Online ISSN 2210-6774 |
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