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.
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.
Authors: Kevin W Chen; Annie N Banducci; Leila Guller; Richard J Macatee; Anna Lavelle; Stacey B Daughters; C W Lejuez Journal: Drug Alcohol Depend Date: 2011-04-22 Impact factor: 4.492
Authors: Joel Swendsen; Kevin P Conway; Louisa Degenhardt; Meyer Glantz; Robert Jin; Kathleen R Merikangas; Nancy Sampson; Ronald C Kessler Journal: Addiction Date: 2010-03-10 Impact factor: 6.526
Authors: Bridget F Grant; Deborah S Hasin; Frederick S Stinson; Deborah A Dawson; W June Ruan; Risë B Goldstein; Sharon M Smith; Tulshi D Saha; Boji Huang Journal: Psychol Med Date: 2005-10-05 Impact factor: 7.723
Authors: Christy K Scott; Michael L Dennis; Alexandre Laudet; Rodney R Funk; Ronald S Simeone Journal: Am J Public Health Date: 2011-02-17 Impact factor: 9.308
Authors: Bridget F Grant; Deborah A Dawson; Frederick S Stinson; Patricia S Chou; Ward Kay; Roger Pickering Journal: Drug Alcohol Depend Date: 2003-07-20 Impact factor: 4.492
Authors: Rachel L Tomko; Nathaniel L Baker; Caitlyn O Hood; Amanda K Gilmore; Erin A McClure; Lindsay M Squeglia; Aimee L McRae-Clark; Susan C Sonne; Kevin M Gray Journal: Psychopharmacology (Berl) Date: 2019-11-11 Impact factor: 4.530