SynthesisJournal of behavioral addictions2025
Stigma in substance-based and behavioural addictions: A systematic review.
Synthesis in Journal of behavioral addictions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- When rejection backfires: Social exclusion and economic decision-making in gamblers.Journal of behavioral addictions · 2026Trial
- Using Machine Learning with the Brief Symptom Inventory to Screen for Comorbid Addictions: A Proof-of-Principle Study.European addiction research · 2026Article
- Opioid Message Fatigue in the United States: Prevalence and Associations with Stigma and Policy Support.Substance use & misuse · 2026Article
- Self-Labelling, Causal Attributions and Perceived Stigma in People Negatively Affected by Gambling.Journal of gambling studies · 2026Article
- From stigma to support: the mediating role of sympathy between nurses' perceived stigma and helping behavior tendency for alcohol use disorder.Frontiers in psychiatry · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: The study of stigma contributes greatly to our understanding of individuals' experiences of mental disorders. Addictive disorders are often associated with public misconceptions of the disorder, which can contribute to shame, discrimination, and reticence to seek help. This review aimed to: (1) evaluate the nature, frequency, and prevalence of addiction stigma; (2) identify the correlates of addiction stigma; and (3) examine the psychometric qualities of addiction stigma measures. Methods: A search of Web of Science, PubMed, Scopus, PsycINFO, and PsycNet, had 5,515 results which were screened for eligibility using Covidence. Eligible papers were quantitative, peer-reviewed studies, which reported an outcome variable of stigma related to an addiction. Results: A total of 99 studies were included in the review, including 70 studies of substance-based addictions, 19 studies of behavioral addictions, and 10 studies which examined both. Thirteen of the 20 studies examining the impact of familiarity with addiction reported that greater familiarity was associated with lower public stigma. Studies comparing substance and behavioral addictions (n = 5) typically reported greater public stigma towards vignettes depicting substance-based addictions than for behavioral addictions. Between 22% and 40% of individuals with an addictive disorder identified stigma as a significant barrier to seeking help; however, the relative importance of stigma among other barriers was unclear. Discussion and Conclusions: Evidence for countermeasures to prevent and/or reduce stigma is currently limited. Further research on the nature and prevalence of addiction stigma is needed to inform the development of effective clinical and public health countermeasures.
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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.