ArticleJournal of addiction medicine
The Impact of High-Potency Synthetic Opioids on Pharmacotherapies for Opioid Use Disorder: A Scoping Review.
Article in Journal of addiction medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- The association between naloxone distribution, buprenorphine treatment and retention and incident high-risk opioid prescribing with opioid overdose death in Kentucky, Massachusetts, New York and Ohio, United States: An exploratory community-level cohort study of data from the HEALing Communities Study.Addiction (Abingdon, England) · 2026Observational
- Contingency Management for Stimulant-Opioid Co-Use: A Systematic Review and Meta-Analysis.Journal of addiction medicine · 2026Article
- Naloxone dosing: An evolving unregulated drug landscape, care setting considerations, and the need for research.Addiction (Abingdon, England) · 2025Article
- Article
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
Abstract
backgroundThe clinical implications of high potency synthetic opioids (HPSO) on medications for opioid use disorder (MOUDs) are not well understood. Although pharmacological interactions are plausible, the clinical significance of such interaction has not been systematically elucidated. This scoping review investigates the relationship between HPSO exposure and various MOUD treatment outcomes.
methodsWe followed PRISMA-ScR (Preferred Reporting Items for Systematic reviews and Meta-Analyses Extension for Scoping Reviews) for scoping reviews with extensive a priori search strategy of databases: MEDLINE, EMBASE, PsycINFO, Web of Science, CINAHL, and Cochrane.
resultsFrom 9149 studies, 34 fulfilled the inclusion criteria. Synthesized data reveal several critical insights: First, there is a variable but high occurrence (38%-80%) of HPSO usage among individuals with MOUDs. Second, MOUDs are linked to a decreased risk of overdoses and deaths associated with HPSO. Third, HPSO consumption is correlated with the risk of precipitated withdrawal when starting buprenorphine. Fourth, low-dose buprenorphine is being recognized as one method to avoid moderate withdrawal symptoms prior to treatment. Lastly, significant gaps exist in human experimental data concerning the effects of HPSO on key factors critical for treating OUD-craving, withdrawal symptoms, and pain.
conclusionsCurrent evidence supports MOUD safety and effectiveness in reducing nonmedical opioid use. Further research is needed to explore HPSO's influence on the acute factors preceding nonmedical opioid use, such as cravings, withdrawal symptoms, and pain. This research could inform the optimization of MOUD dosing strategies. Achieving consensus and harmonizing data across clinical and research protocols could diminish variability, enhancing our understanding of HPSOs effect on MOUD treatment outcomes.
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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.