Evidence map›Paper›PMID 20828943›Full record

Trial reportDrug and alcohol dependence2011

Randomized, double blind, placebo-controlled trial of disulfiram for the treatment of cocaine dependence in methadone-stabilized patients.

Alison Oliveto, James Poling, Michael J Mancino, Zachary Feldman, Joseph F Cubells, Rhonda Pruzinsky, Kishorchandra Gonsai, Christopher Cargile, Mehmet Sofuoglu, Mohit P Chopra and 3 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Drug and alcohol dependence, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 6 pooled it
4.7field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 6 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Disulfiram for the treatment of cocaine dependence.The Cochrane database of systematic reviews · 2024
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  16. Pharmacotherapy treatment of stimulant use disorder.The mental health clinician · 2021
    Article
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  18. Psychostimulant addiction treatment.Neuropharmacology · 2014
    Review
  19. Article
  20. Future pharmacological treatments for substance use disorders.British journal of clinical pharmacology · 2014
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 8 institutions in 1 country.

Alison OlivetoPsychiatry Dept, University of Arkansas for Medical Sciences, Slot 843, 4301 W Markham St, Little Rock, AR 72205, USA. olivetoalison@uams.edu
James Poling
Michael J Mancino
Zachary Feldman
Joseph F Cubells
Rhonda Pruzinsky
Kishorchandra Gonsai
Christopher Cargile
Mehmet Sofuoglu
Mohit P Chopra
Gerardo Gonzalez-Haddad
Kathleen M Carroll
Thomas R Kosten
Yale University · USUniversity of Arkansas for Medical Sciences · USEmory University · USMichael E. DeBakey VA Medical Center · USTexas A&M Health Science Center · USUniversity of Massachusetts Amherst · USVA Boston Healthcare System · USVA Connecticut Healthcare System · US

Funding

TSF to enhance treatment of cocaine dependenceP50DA009241 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M. · 1994 to 2018
$40.5M
Disulfiram for Cocaine Abuse in Methadone- PatientsR01DA013441 · NIDA · YALE UNIVERSITY · PI OLIVETO, ALISON · 2001 to 2010
$4.6M
Maximizing CBT's Efficacy with Medication &CMR01DA019078 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M. · 2005 to 2009
$1.6M
COMORBIDITY IN COCAINE AND OPIOID PHARMACOTHERAPYK05DA000454 · NIDA · YALE UNIVERSITY · PI KOSTEN, THOMAS RICHARD · 2000 to 2010
$1.3M
Human Genetics of Drug-Abuse Related PhenotypesK02DA015766 · NIDA · YALE UNIVERSITY · PI CUBELLS, JOSEPH F. · 2003 to 2007
$606k
NIDA NIH HHS DA13441NIDA NIH HHS K02-DA015766NIDA NIH HHS K05-DA0454NIDA NIH HHS P50 DA009241NIDA NIH HHS P50-DA18827NIDA NIH HHS R01 DA013441NIDA NIH HHS R01 DA019078
6 · The paper itself

Abstract

unlabelledThis study examined the dose-related efficacy of disulfiram for treating cocaine dependence in methadone-stabilized cocaine dependent participants.

designOne hundred and sixty-one cocaine- and opioid-dependent volunteers were entered into a 14-week, double blind, randomized, placebo-controlled clinical trial at two sites.

methodsParticipants were stabilized on methadone during weeks 1-2 and received disulfiram at 0, 62.5, 125 or 250 mg/day during weeks 3-14. All participants also received weekly cognitive behavioral therapy. Thrice-weekly urine samples and weekly self-reported drug use assessments were obtained.

resultsBaseline subject characteristics, retention and drug use did not differ across groups. Outcome analyses were performed on those who participated beyond week 2. Opioid-positive urine samples and self-reported opioid use did not differ by treatment group. The prevalence of alcohol use was low prior to and during the trial and did not differ by treatment group. Cocaine-positive urines increased over time in the 62.5 and 125 mg disulfiram groups and decreased over time in the 250 mg disulfiram and placebo groups (p < 0.0001). Self-reported cocaine use increased in the 125 mg disulfiram group relative to the other three treatment groups (p = 0.04).

conclusionsDisulfiram may be contraindicated for cocaine dependence at doses <250 mg/day. Whether disulfiram at higher doses is efficacious in reducing cocaine use in dually cocaine and opioid dependent individuals needs to be determined.

Indexed as

AdultAlcohol DrinkingCocaineCocaine-Related DisordersCognitive Behavioral TherapyDisulfiramDose-Response Relationship, DrugFemaleHumansMaleMethadoneOpiate Substitution TreatmentOpioid-Related DisordersSelf ReportCocaineDisulfiramMethadone

Identifiers

PMID20828943
PMCPMC3005977
OpenAlexW1990473903

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.