Literature DB >> 20444552

Systematic review of prospective studies investigating "remission" from amphetamine, cannabis, cocaine or opioid dependence.

Bianca Calabria1, Louisa Degenhardt, Christina Briegleb, Theo Vos, Wayne Hall, Michael Lynskey, Bridget Callaghan, Umer Rana, Jennifer McLaren.   

Abstract

AIMS: To review and summarize existing prospective studies reporting on remission from dependence upon amphetamines, cannabis, cocaine or opioids.
METHODS: Systematic searches of the peer-reviewed literature were conducted to identify prospective studies reporting on remission from amphetamines, cannabis, cocaine or opioid dependence. Searches were limited to publication between 1990 and 2009. Reference lists of review articles and important studies were searched to identify additional studies. Remission was defined as no longer meeting diagnostic criteria for drug dependence or abstinence from drug use; follow-up periods of at least three years were investigated. The remission rate was estimated for each drug type, allowing pooling across studies with varying follow-up times.
RESULTS: There were few studies examining the course of psychostimulant dependence that met inclusion criteria (one for amphetamines and four for cocaine). There were ten studies of opioid and three for cannabis dependence. Definitions of remission varied and most did not clearly assess remission from dependence. Amphetamine dependence had the highest remission rate (0.4477; 95%CI 0.3991, 0.4945), followed by opioid (0.2235; 95%CI 0.2091, 0.2408) and cocaine dependence (0.1366; 95%CI 0.1244, 0.1498). Conservative estimates of remission rates followed the same pattern with cannabis dependence (0.1734; 95%CI 0.1430, 0.2078) followed by amphetamine (0.1637; 95%CI 0.1475, 0.1797), opioid (0.0917; 95%CI 0.0842, 0.0979) and cocaine dependence (0.0532; 95%CI 0.0502, 0.0597).
CONCLUSIONS: The limited prospective evidence suggests that "remission" from dependence may occur relatively frequently but rates may differ across drugs. There is very little research on remission from drug dependence; definitions used are often imprecise and inconsistent across studies and there remains considerable uncertainty about the longitudinal course of dependence upon these most commonly used illicit drugs. Copyright 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20444552     DOI: 10.1016/j.addbeh.2010.03.019

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  37 in total

1.  Probability and predictors of remission from life-time nicotine, alcohol, cannabis or cocaine dependence: results from the National Epidemiologic Survey on Alcohol and Related Conditions.

Authors:  Catalina Lopez-Quintero; Deborah S Hasin; José Pérez de Los Cobos; Abigail Pines; Shuai Wang; Bridget F Grant; Carlos Blanco
Journal:  Addiction       Date:  2010-11-16       Impact factor: 6.526

2.  Time to relapse following treatment for methamphetamine use: a long-term perspective on patterns and predictors.

Authors:  Mary-Lynn Brecht; Diane Herbeck
Journal:  Drug Alcohol Depend       Date:  2014-03-12       Impact factor: 4.492

3.  Natural course of cannabis use disorders.

Authors:  R F Farmer; D B Kosty; J R Seeley; S C Duncan; M T Lynskey; P Rohde; D N Klein; P M Lewinsohn
Journal:  Psychol Med       Date:  2014-05-12       Impact factor: 7.723

4.  Stimulant dependence and stimulant-associated psychosis: clinical characteristics and age of onset in a native American community sample.

Authors:  David A Gilder; Ian R Gizer; Philip Lau; Cindy L Ehlers
Journal:  J Addict Med       Date:  2014 Jul-Aug       Impact factor: 3.702

5.  Canadian trends in opioid-related mortality and disability from opioid use disorder from 1990 to 2014 through the lens of the Global Burden of Disease Study.

Authors:  Heather M Orpana; Justin J Lang; Maulik Baxi; Jessica Halverson; Nicole Kozloff; Leah Cahill; Samiah Alam; Scott Patten; Howard Morrison
Journal:  Health Promot Chronic Dis Prev Can       Date:  2018-06       Impact factor: 3.240

6.  Temporal changes in non-fatal opioid overdose patterns among people who use drugs in a Canadian setting.

Authors:  Christopher Fairgrieve; Ekaterina Nosova; M-J Milloy; Nadia Fairbairn; Kora DeBeck; Keith Ahamad; Evan Wood; Thomas Kerr; Kanna Hayashi
Journal:  Subst Abus       Date:  2020-04-29       Impact factor: 3.716

Review 7.  The natural history of substance use disorders.

Authors:  Aaron L Sarvet; Deborah Hasin
Journal:  Curr Opin Psychiatry       Date:  2016-07       Impact factor: 4.741

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

Authors:  Ludwing Flórez-Salamanca; Roberto Secades-Villa; Alan J Budney; Olaya García-Rodríguez; Shuai Wang; Carlos Blanco
Journal:  Drug Alcohol Depend       Date:  2013-02-15       Impact factor: 4.492

9.  Mortality among heroin users and users of other internationally regulated drugs: A 27-year follow-up of users in the Epidemiologic Catchment Area Program household samples.

Authors:  Catalina Lopez-Quintero; Kimberly B Roth; William W Eaton; Li-Tzy Wu; Linda B Cottler; Martha Bruce; James C Anthony
Journal:  Drug Alcohol Depend       Date:  2015-09-03       Impact factor: 4.492

10.  Associations Between Religiosity, Perceived Social Support, and Stimulant Use in an Untreated Rural Sample in the U.S.A.

Authors:  Michael A Cucciare; Xiaotong Han; Geoffrey M Curran; Brenda M Booth
Journal:  Subst Use Misuse       Date:  2016-04-20       Impact factor: 2.164

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