Efficacy of Cognitive Behavioral Therapy on Opiate Use and Retention in Methadone Maintenance Treatment in China: A Randomised Trial
Open accessAbstract
AIMS: Methadone maintenance treatment (MMT) is widely available in China; but, high rates of illicit opiate use and dropout are problematic. The aim of this study was to test whether cognitive behavioral therapy (CBT) in conjunction with MMT can improve treatment retention and reduce opiate use. METHOD: A total of 240 opiate-dependent patients in community-based MMT clinics were randomly assigned to either weekly CBT plus standard MMT (CBT group, n=120) or standard MMT (control group, n=120) for 26 weeks. The primary outcomes were treatment retention and opiate-negative urine test results at 12 weeks and 26 weeks. The secondary outcomes were composite scores on the Addiction Severity Index (ASI) and total scores on the Perceived Stress Scale (PSS) at 12 weeks and 26 weeks. RESULTS: Compared to the control group in standard MMT, the CBT group had higher proportion of opiate-negative urine tests at both 12 weeks (59% vs. 69%, p<0.05) and 26 weeks (63% vs. 73%, p<0.05); however, the retention rates at 12 weeks (73.3% vs. 74.2%, p=0.88) and 26 weeks were not different (55.8% vs. 64.2%, p=0.19) between the two groups. At both 12 and 26 weeks, all of the ASI component scores and PSS total scores in the CBT group and control group decreased from baseline; but the CBT group exhibited more decreases in ASI employment scores at week 26 and more decrease in the PSS total score at week 12 and week 26. CONCLUSIONS: CBT counselling is effective in reducing opiate use and improving employment function and in decreasing stress level for opiate-dependent patients in MMT in China. TRIAL REGISTRATION: ClinicalTrials.gov NCT01144390.
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The efficacy of CBT has been documented by RCTs in several SUDs.
“The efficacy of CBT has been documented by RCTs in several SUDs 230- 234 .”
From Substance use disorders: a comprehensive update of classification, epidemiology, neurobiology, clinical aspects, treatment and prevention (2023) · cites this paper as [231]
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- Authors
- Pan, S., Jiang, H., Du, J., Chen, H., Li, Z., Ling, W., & Zhao, M.
- Affiliations
- Shanghai Jiao Tong University (CN)
- University of California, Los Angeles (US)
- Corresponding author
- Zhao, Min
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-06-24
- Volume
- 10
- Issue
- 6
- Pages
- e0127598
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4479610
- OpenAlex
- W1593172493
- Cited by
- 49
- References
- 43
- Citations by year
- 2026: 3 · 2024: 8 · 2023: 6 · 2022: 5 · 2021: 9 · 2020: 5 · 2019: 3 · 2018: 5 · 2017: 3 · 2016: 1 · 2015: 1
- FWCI
- 3.57
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Figshare (submittedVersion, cc-by)
- Funders
- University of Adelaide
- University of California, Los Angeles
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Health Sciences › Medicine › Epidemiology › HIV, Drug Use, Sexual Risk
- Keywords
- cognitive behavioral therapy, methadone maintenance treatment, opioid use disorder, treatment retention, urine drug testing, Addiction Severity Index, perceived stress, employment, China
- MeSH terms
- Adult, China, Female, Heroin Dependence, Humans, Male, Methadone, Middle Aged, Opioid-Related Disorders, Patient Dropouts, Cognitive Behavioral Therapy, Treatment Outcome
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 ›
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