Trial reportPsychopharmacology2024
A practice quit model to test early efficacy of medications for alcohol use disorder in a randomized clinical trial.
Trial report in Psychopharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 7 citations in OpenAlex.
- Examining the effects of varenicline and naltrexone on delay discounting among individuals with alcohol use disorder.Alcohol and alcoholism (Oxford, Oxfordshire) · 2025Trial
- Characterizing reward and relief/habit drinking profiles in a study of naltrexone, varenicline, and placebo.Alcohol and alcoholism (Oxford, Oxfordshire) · 2024Trial
- Influence of sleep quality on lapse to alcohol use during a quit attempt.Alcohol and alcoholism (Oxford, Oxfordshire) · 2024Trial
- Sleep disturbance is associated with greater subjective and neural negative emotionality in people with alcohol use disorder.Drug and alcohol dependence · 2026Article
- Who is alcohol cue-reactive? A machine learning approach.Alcohol and alcoholism (Oxford, Oxfordshire) · 2025Article
- Characterizing alcohol cue reactive and non-reactive individuals with alcohol use disorder.Addictive behaviors · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
rationaleScreening novel medications for alcohol use disorder (AUD) requires models that are both efficient and ecologically-valid. Ideally, such models would be associated with the outcomes of a given medication in clinical trials.
objectivesTo test a novel human laboratory model in which individuals with intrinsic motivation to change their drinking engage in a "practice quit" attempt consisting of 6 days of complete abstinence from alcohol.
methodIndividuals with current AUD completed a randomized, double-blind, placebo-controlled study of naltrexone (50 mg), varenicline (2 mg bid), or matched placebo. Participants were titrated onto the study medication for 1 week prior to starting the 6-day practice quit attempt. During the practice quit attempt, participants completed daily interviews with research staff. All participants completed an alcohol cue-exposure paradigm before starting the study medication and after 2 weeks of study medication.
resultsThere were no significant medication effect on drinks per drinking day (F(2,49) = 0.66, p = 0.52) or percent days abstinent (F(2,49) = 0.14, p = 0.87) during the 6-day practice quit period. There were no medication effects on alcohol cue-reactivity (F(2,44) = 0.80, p = 0.46). Notably, participants sharply reduced their drinking during the entire 13-day medication treatment period, as compared to reducing only during the 6-day practice quit period. During the total medication period, higher levels of motivation to change was associated with higher percent days abstinent (F(1,49) = 8.12, p < 0.01).
conclusionsThis study reports mostly null findings, which challenges us to decompose its nuanced design to consider model refinements. Possible changes to the model include considering the requirement for intrinsic motivation for change, including a longer practice quit period, encompassing the medication administration timeframe in the practice quit period, increasing the required sample size for signal detection, and examining a post COVID-19 pandemic cohort.
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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.