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Drug Alcohol Depend. 2013 Sep 1;132(1-2):127-33. doi: 10.1016/j.drugalcdep.2013.01.013. Epub 2013 Feb 15.

Probability and predictors of cannabis use disorders relapse: results of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC).

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  • 1Department of Psychiatry, New York State Psychiatric Institute and College of Physicians and Surgeons, Columbia University, New York, NY 10032, United States. florezl@nyspi.columbia.edu

Abstract

BACKGROUND:

This study aims to estimate the odds and predictors of Cannabis Use Disorders (CUD) relapse among individuals in remission.

METHODS:

Analyses were done on the subsample of individuals with lifetime history of a CUD (abuse or dependence) who were in full remission at baseline (Wave 1) of the National Epidemiological Survey of Alcohol and Related Conditions (NESARC) (n=2350). Univariate logistic regression models and hierarchical logistic regression model were implemented to estimate odds of relapse and identify predictors of relapse at 3 years follow up (Wave 2).

RESULTS:

The relapse rate of CUD was 6.63% over an average of 3.6 year follow-up period. In the multivariable model, the odds of relapse were inversely related to time in remission, whereas having a history of conduct disorder or a major depressive disorder after Wave 1 increased the risk of relapse.

CONCLUSIONS:

Our findings suggest that maintenance of remission is the most common outcome for individuals in remission from a CUD. Treatment approaches may improve rates of sustained remission of individuals with CUD and conduct disorder or major depressive disorder.

Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

KEYWORDS:

Abuse; CUD; Cannabis; Cannabis use disorder; Dependence; Marijuana; NESARC; Relapse; Remission

PMID:
23415849
[PubMed - indexed for MEDLINE]
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