The DOI matches its Crossref record; 113 of the 113 references it cites were found in a registry or an index.
Contingency management for treatment of substance use disorders: a meta‐analysis
Abstract
Aims To examine the effectiveness of contingency management (CM) techniques in treating substance use disorders (i.e. illicit drugs, alcohol, tobacco). Design Meta‐analysis was used to determine the average effect size and potential moderators in 47 comparisons of the effectiveness of CM from studies based on a treatment–control group design and published between 1970 and 2002. Findings The mean effect size (ES) of CM was positive, with a magnitude of d = 0.42 using a fixed effects model. The magnitude of the ES declined over time, following treatment. CM was more effective in treating opiate use (d = 0.65) and cocaine use (d = 0.66), compared with tobacco (d = 0.31) or multiple drugs (d = 0.42). Larger effect sizes were associated with higher researcher involvement, earlier studies and shorter treatment duration. Conclusions Study findings suggest that CM is among the more effective approaches to promoting abstinence during the treatment of substance use disorders. CM improves the ability of clients to remain abstinent, thereby allowing them to take fuller advantage of other clinical treatment components.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“We know that training effects tend to decay over time, with effect sizes generally being the largest at posttest and decreasing at follow-up”
From Behavioral trainings and manipulations to reduce delay discounting: A systematic review (2019) · cites this paper as Prendergast, Podus, Finney, Greenwell, & Roll, 2006
Citations
Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Duval, S., & Tweedie, R. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00455.x · Cited by 14,099
(2000) · Cited by 9,198
The file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068
Statistical Methods for Meta-Analysis.
Freeman, P. R., Hedges, L. V., & Olkin, I. (1986) · Biometrics · doi:10.2307/2531069 · Cited by 4,840
A Nonparametric “Trim and Fill” Method of Accounting for Publication Bias in Meta-Analysis
Duval, S., & Tweedie, R. (2000) · Journal of the American Statistical Association · doi:10.1080/01621459.2000.10473905 · Cited by 2,955
DOES CORRECTIONAL TREATMENT WORK? A CLINICALLY RELEVANT AND PSYCHOLOGICALLY INFORMED META‐ANALYSIS *
ANDREWS, D. A., ZINGER, I., HOGE, R. D., BONTA, J., GENDREAU, P., & CULLEN, F. T. (1990) · Criminology · doi:10.1111/j.1745-9125.1990.tb01330.x · Cited by 2,084
The Handbook of Research Synthesis.
Light, R. J., Cooper, H., & Hedges, L. V. (1994) · Journal of the American Statistical Association · doi:10.2307/2291021 · Cited by 1,880
Moyer, A., Finney, J. W., Swearingen, C. E., & Vergun, P. (2002) · Addiction · doi:10.1046/j.1360-0443.2002.00018.x · Cited by 1,092 · cited 1×
“Nevertheless, a decline in the positive effects of CM after reinforcement has been discontinued is to be expected for CM specifically [66], and for other types of treatments [67].”
Self-citationA meta-analysis of voucher-based reinforcement therapy for substance use disorders
Lussier, J. P., Heil, S. H., Mongeon, J. A., Badger, G. J., & Higgins, S. T. (2006) · Addiction · doi:10.1111/j.1360-0443.2006.01311.x · Cited by 858
Research works printed but not linked: 6
- RollJ. M. PetryN. M. StitzerM. BrechtM. L. PeirceJ. M. McCannM.et al.Contingency management for the treatment of methamphetamine abuse.Am J Psychiatryin press.
- 10.1037/0022-006X.70.2.398 · DOI
- Anker A. L., 1982, Problems of drug dependence: Proceedings of the 43rd Annual Scientific Meeting, the Committee on Problems of Drug Dependence., 452
- Crowley T. J., 1984, Behavioral Intervention Techniques in Drug Abuse Treatment., 68
- Tobler N. S., 1997, Meta‐analysis of drug abuse prevention programs, 5
- Johnson B. T., 1989, DSTAT 1.10: Software for the Meta‐Analytic Review of Research Literature
Cited by
Sorted by citations
Magill, M., & Ray, L. A. (2009) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2009.70.516 · Cited by 694
Cognitive Behavioral Therapy for Substance Use Disorders
McHugh, R. K., Hearon, B. A., & Otto, M. W. (2010) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2010.04.012 · Cited by 626
Giles, E. L., Robalino, S., McColl, E., Sniehotta, F. F., & Adams, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0090347 · Cited by 470
Luchenski, S. A., Maguire, N., Aldridge, R. W., Hayward, A. C., Story, A., Perri, P., Withers, J., Clint, S., Fitzpatrick, S., & Hewett, N. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31959-1 · Cited by 433
Theory-based active ingredients of effective treatments for substance use disorders
Moos, R. H. (2006) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2006.10.010 · Cited by 295
Metadata
- Authors
- Prendergast, M., Podus, D., Finney, J., Greenwell, L., & Roll, J.
- Affiliations
- University of California, Los Angeles (US)
- VA Palo Alto Health Care System (US)
- Washington State University Spokane (US)
- Corresponding author
- Prendergast, Michael
- ORCID
- Roll, John
- Venue
- Addiction
- Publisher
- Wiley
- Published
- 2006-10-10
- Volume
- 101
- Issue
- 11
- Pages
- 1546-1560
- ISSN
- 0965-2140 (ISSN-L)
- 1360-0443
- OpenAlex
- W2095695118
- Cited by
- 877
- References
- 107
- Citations by year
- 2026: 26 · 2025: 36 · 2024: 45 · 2023: 57 · 2022: 42 · 2021: 58 · 2020: 38 · 2019: 54 · 2018: 42 · 2017: 42 · 2016: 59 · 2015: 49 · 2014: 52 · 2013: 44 · 2012: 45
- FWCI
- 3.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Addiction (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Veterans Affairs
- Quality Enhancement Research Initiative
- National Institute on Drug Abuse (R01DA017407, R01DA017084)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Psychology › Developmental and Educational Psychology › Behavioral and Psychological Studies
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
- Keywords
- contingency management, substance use disorders, abstinence, opiate use, cocaine use, tobacco use, alcohol consumption, treatment effectiveness, moderators of effect size
- MeSH terms
- Behavior Therapy, Humans, Treatment Outcome, 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