Trial reportThe American journal on addictions2017
Pretreatment ethyl glucuronide levels predict response to a contingency management intervention for alcohol use disorders among adults with serious mental illness.
Trial report in The American journal on addictions, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Psychosocial interventions for people with both severe mental illness and substance misuse.The Cochrane database of systematic reviews · 2019Pooled it
- Testing adaptations to contingency management for alcohol use disorders: A randomized controlled trial.Journal of consulting and clinical psychology · 2025Trial
- Contingency management for alcohol use disorder reduces cannabis use among American Indian and Alaska Native adults.Journal of substance abuse treatment · 2022Trial
- Clinical and cost-effectiveness of contingency management for cannabis use in early psychosis: the CIRCLE randomised clinical trial.BMC medicine · 2019Trial
- Mixed-methods trial of a phosphatidylethanol-based contingency management intervention to initiate and maintain alcohol abstinence in formerly homeless adults with alcohol use disorders.Contemporary clinical trials communications · 2021Article
- Using a randomized controlled trial to test whether modifications to contingency management improve outcomes for heavy drinkers with serious mental illness.Contemporary clinical trials · 2018Article
- Homelessness predicts attrition but not alcohol abstinence in outpatients experiencing co-occurring alcohol dependence and serious mental illness.Substance abuse · 2018Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
BACKGROUND AND
objectivesThis study investigated if pretreatment ethyl glucuronide (EtG) levels corresponding to light (100 ng/mL), heavy (500 ng/mL), and very heavy (1,000 ng/mL) drinking predicted longest duration of alcohol abstinence (LDA) and proportion of EtG-negative urine tests in outpatients receiving a 12-week EtG-based contingency management (CM) intervention for alcohol dependence.
methodsParticipants were 40 adults diagnosed with alcohol use disorders and serious mental illness who submitted up to 12 urine samples for EtG analysis during a 4-week observation period and were then randomized to 12-weeks of CM for alcohol abstinence and addiction treatment attendance. Alcohol use outcomes during CM as assessed by EtG and self-report were compared across those who did and did not attain a pre-treatment average EtG level of 500 ng/mL-a level that equates to frequent heavy drinking.
resultsOnly the 500 ng/mL cutoff was associated with significant differences in LDA and proportion of EtG-negative samples during CM. Those with a pre-treatment EtG < 500 ng/mL attained a LDA 2.3 (alcohol) to 2.9 (drugs) weeks longer than pre-treatment heavy drinkers. DISCUSSION AND
conclusionsThe EtG biomarker can be used to determine who will respond to a CM intervention for alcohol use disorders and could inform future trials that are designed to be tailored to individual patients. SCIENTIFIC SIGNIFICANCE: Results suggest pre-treatment EtG cutoffs equivalent to heavy and very heavy drinking predict outcomes in CM. (Am J Addict 2017;26:673-675).
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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.