A systematic review and meta-analysis of the efficacy of the long-term treatment and support of substance use disorders
Abstract
Rationale The reconceptualization of substance use disorders (SUD) as a chronic phenomenon calls for a paradigm shift in service provision, particularly by way of long-term treatment and support. Studies that have evaluated the efficacy of long-term treatment models seem to indicate that they are an improvement on more standard short-term treatments, even though these studies do not take the durations into consideration. Objective Measure the efficacy of SUD treatments and support lasting 18 months or more regarding their ability to decrease substance use as compared to shorter treatments. Methods A meta-analysis based on a systematic literature review was conducted. Eight databases were consulted for peer-reviewed studies. Certain variables were coded as moderators: intervention length, participant characteristics, and treatment characteristics. Results The main results suggest that the people who received a planned long-term treatment or support had a 23.9 % greater chance of abstaining or consuming moderately than did people who received a shorter standard treatment (OR = 1.347 [CI 95 % = 1.087-1.668], p Conclusions The reconceptualization of the SUD as a chronic disorder among people with this problem leads us to reconsider both the length of the services provided and the paradigms underlying their organization.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Cites
Drug Dependence, a Chronic Medical Illness
McLellan, A. T., Lewis, D. C., O'Brien, C. P., & Kleber, H. D. (2000) · JAMA · doi:10.1001/jama.284.13.1689 · Cited by 2,622 · see citing works
Empirical assessment of effect of publication bias on meta-analyses
Sutton, A. J. (2000) · BMJ · doi:10.1136/bmj.320.7249.1574 · Cited by 1,398 · see citing works
Brecht, M.-L., & Herbeck, D. (2014) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2014.02.702 · Cited by 280 · see citing works
The outcomes movement in addiction treatment: Comments and cautions.
McLellan, A. T. (2003) · Drug abuse treatment through collaboration: Practice and research partnerships that work. · doi:10.1037/10491-010 · Cited by 6 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Green, J., Bagge, A. S. L., Olausson, S., Andiné, P., Wallinius, M., & Karlén, M. H. (2023) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2022.108899 · Cited by 9 · see citing works
McCauley, J. L., Crawford, P., Leo, M. C., McBurnie, M. A., Barton, D., Weidner, H. A., Rindal, D. B., & the National Dental PBRN Collaborative Group (2026) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.24-00383 · Cited by 1 · see citing works
- Authors
- Beaulieu, M., Tremblay, J., Baudry, C., Pearson, J., & Bertrand, K.
- Affiliations
- Université du Québec à Trois-Rivières (CA)
- Université de Sherbrooke (CA)
- Corresponding author
- Beaulieu, Myriam
- Venue
- Social Science & Medicine
- Publisher
- Elsevier BV
- Published
- 2021-09
- Volume
- 285
- Pages
- 114289
- ISSN
- 0277-9536 (ISSN-L)
- OpenAlex
- W3190160464
- Cited by
- 73
- References
- 4
- Citations by year
- 2026: 17 · 2025: 18 · 2024: 26 · 2023: 5 · 2022: 7
- FWCI
- 1.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Social Science & Medicine (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Agence Nationale de la Recherche (ANR-18-GEND-0003)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
- Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
- Keywords
- substance use disorders, long-term treatment, treatment duration, chronic disease model, substance use abstinence, treatment efficacy, addiction services
- MeSH terms
- Chronic Disease, Humans, Substance-Related Disorders
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review