Literature DB >> 19039449

[Cognitive-behavioral therapy for alcohol and drug use disorders].

Bernard P Rangé1, G Alan Marlatt.   

Abstract

OBJECTIVE: Cognitive-behavioral therapies have been successfully used to treat addiction. This article is in part a review on addiction models such as relapse prevention by Marlatt & Gordon, stages of change by Prochaska, DiClemente & Norcross, deriving from motivational interview, developed by Miller & Rollnick, as well as the cognitive models by Beck et al.
METHOD: Based on literature evidence for the development of effective treatment programs, we report on a group treatment model used in a group of alcoholics referred by the Department of Worker's Health Surveillance at Universidade Federal do Rio de Janeiro to the Alcoholism Rehabilitation and Research Center.
RESULTS: Results are presented indicating that this type of treatment could be one alternative to others treatments in use.
CONCLUSIONS: New research is needed to better validate cognitive-behavioral approach to alcohol and drug problems.

Entities:  

Mesh:

Year:  2008        PMID: 19039449     DOI: 10.1590/s1516-44462008000600006

Source DB:  PubMed          Journal:  Braz J Psychiatry        ISSN: 1516-4446            Impact factor:   2.697


  3 in total

1.  Effectiveness of Relapse Prevention Cognitive-Behavioral Model in Opioid-Dependent Patients Participating in the Methadone Maintenance Treatment in Iran.

Authors:  Tahereh Pashaei; Davoud Shojaeizadeh; Abbas Rahimi Foroushani; Mahmoud Ghazitabatabae; Maryam Moeeni; Fatemeh Rajati; Emran M Razzaghi
Journal:  Iran J Public Health       Date:  2013-08       Impact factor: 1.429

Review 2.  Efficacy of cognitive behavioral therapy in reducing psychiatric symptoms in patients with implantable cardioverter defibrillator: an integrative review.

Authors:  A C C O Maia; A A Braga; G Soares-Filho; V Pereira; A E Nardi; A C Silva
Journal:  Braz J Med Biol Res       Date:  2014-03-18       Impact factor: 2.590

3.  Excess weight in regular aviation pilots associated with work and sleep characteristics.

Authors:  Magna Lúcia de Souza Palmeira; Elaine Cristina Marqueze
Journal:  Sleep Sci       Date:  2016-12-14
  3 in total

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