ArticleAddictive behaviors2020
Evaluating alcohol demand, craving, and depressive symptoms among women in alcohol treatment.
Article in Addictive behaviors, 2020. 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
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.
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, 10 citations in OpenAlex.
- Is toke cheap? Correspondence between cannabis demand and purchase in the laboratory.Addiction (Abingdon, England) · 2026Article
- The price of care: alcohol misuse as a moderator of financial hardship and mental health outcomes of U.S. women caregivers.Archives of women's mental health · 2026Article
- Using behavioral economics to understand reinforcement mechanisms of loss-of-control eating: An ecological momentary assessment approach.Journal of psychopathology and clinical science · 2025Article
- Cannabis demand and use among veterans: A prospective examination.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023Article
- Alcohol demand assessed daily as a predictor of same day drinking.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023Article
- Unique and Transdiagnostic Dimensions of Reward Functioning in Attention-Deficit/Hyperactivity Disorder and Alcohol Use Disorder Symptoms.Alcohol and alcoholism (Oxford, Oxfordshire) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundDepression and alcohol craving predict drinking and relapse rates among alcohol treatment seekers. Alcohol demand, or one's valuation of alcohol may be another determinant of drinking. There is little known about alcohol demand and its association with depression, craving, and drinking among treatment-seeking adults.
methodParticipants were 71 women with elevated depressive symptoms seeking outpatient treatment for alcohol use disorder (AUD). At baseline, participants self-reported daily drinking amount, alcohol craving, depressive symptoms, and alcohol demand assessed with the alcohol purchase task (APT; a task requesting participants to make hypothetical purchases of drinks at escalating prices). Baseline associations among alcohol demand, depressive symptoms, alcohol craving, and drinking severity were assessed.
resultsParticipants averaged 40.68 (SD = 11.78) years of age, consumed 8.84 (SD = 5.14) drinks per drinking day and reported 15.45 (SD = 7.51) heavy drinking days in the past 30 days, and had an average PHQ-9 depression score of 13.00 (SD = 4.28). Results suggest that the alcohol demand metrics of intensity (consumption level when drinks are free) and O
conclusionsThese results suggest that demand may reflect unique risk for drinking relative to craving or depressive symptoms. These findings provide support for the utility of the APT within a clinical setting to assess individualized valuation of alcohol.
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What OpenQuestion holds
Registered trials
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.