ArticleJournal of substance abuse treatment2020
Attitudes about medications for alcohol use disorder among individuals with serious mental illness: A health belief model analysis.
Article in Journal of substance abuse treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 7 citations in OpenAlex.
- Patient perspectives on medications for alcohol use disorder: A systematic scoping review.Alcohol, clinical & experimental research · 2025Article
- Perspectives Regarding Medications for Opioid Use Disorder Among Individuals with Mental Illness.Community mental health journal · 2023Article
- Provider Perspectives on Medication for AUD in Mental Health and Substance Use Disorder Clinics.Journal of dual diagnosisArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundMedications for alcohol use disorder (MAUD) are underutilized in mental health settings. Increasing use of MAUD requires increasing both the availability of these medications and the demand by individuals who could benefit. Few studies have explored the views of individuals with severe mental illness and alcohol use disorder about MAUD. We sought to examine, among individuals treated in publicly funded community mental health clinics, perceived need for and attitudes toward MAUD.
methodsWe conducted 8 focus groups with 87 participants treated in public mental health clinics in Los Angeles County. We aimed to include individuals with a current or past AUD diagnosis and individuals helping others (e.g., a family member) who drink. We examined responses using domains associated with the Health Belief Model to identify factors that shape acceptance of MAUD.
resultsParticipants were 53% female; most were minorities. Average age was 47 years (SD = 11). Twenty-four reported never drinking, 13 of whom had a current or past diagnosis of AUD. Twenty-two reported drinking 4 or more times per week. Three-quarters had not heard of naltrexone. Participants understood that alcohol use has severe adverse consequences and perceived themselves to be highly susceptible to these consequences. Regarding attitudes toward MAUD, participants described an internal locus of control (e.g., their own desires, actions, and effort) as central to addressing problem drinking; this shaped their views that MAUD would have only modest benefits and potentially high burden. Those individuals who had tried MAUD expressed the most optimism about its effectiveness.
conclusionsParticipants worried MAUD would impede the development of self-control over drinking by fostering dependence on medication and undermining self-discipline. Client education and counseling that emphasizes MAUD as a tool to build clients' self-control may increase demand for these medications in mental health settings.
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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.