ArticleTranslational psychiatry2021
Metabolomics reveals biomarkers of opioid use disorder.
Article in Translational psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 28 citations in OpenAlex.
- Selective Influence of Hemp Fiber Ingestion on Post-Exercise Gut Permeability: A Metabolomics-Based Analysis.Nutrients · 2025Trial
- Trial
- Retrospective Metabolomics Profiling of Clinical Urine Drug Screen Samples Reveals Features Associated with Opiate Exposure.Metabolites · 2026Article
- Metabolomic and gut microbial biomarkers of smoking cessation treatment in long-term drug therapy: a study protocol for a randomized controlled trial.Frontiers in psychiatry · 2026Article
- Review
- Sex Modifies Metabolic Pathways Associated with Lipids in Untargeted Metabolomics: The Coronary Artery Risk Development in Young Adults (CARDIA) Study, 2005-2006.Metabolites · 2025Article
- Body Mass Index Modifies Associations Between Diet Quality and Circulating Metabolites: The CARDIA Study, 2005 to 2006.Journal of the American Heart Association · 2025Article
- Microbiome-derived metabolites in substance use disorders: Mechanisms and implications.Annals of the New York Academy of Sciences · 2025Review
- Article
- Adolescent intermittent ethanol exposure induces sex-specific and time-dependent changes in affective behaviors and metabolomic profiles.Frontiers in behavioral neuroscience · 2025Article
- Untargeted metabolomics reveal signatures of a healthy lifestyle.Scientific reports · 2024Article
- Long access heroin self-administration significantly alters gut microbiome composition and structure.Frontiers in psychiatry · 2024Article
- Multi-omics analysis revealing the interplay between gut microbiome and the host following opioid use.Gut microbes · 2023Article
- Liver Metabolomics and Inflammatory Profiles in Mouse Model of Fentanyl Overdose Treated with Beta-Lactams.Metabolites · 2023Article
- Newborn metabolomic signatures of maternal per- and polyfluoroalkyl substance exposure and reduced length of gestation.Nature communications · 2023Article
- Changes in Plasma Metabolic Signature upon Acute and Chronic Morphine Administration in Morphine-Tolerant Mice.Metabolites · 2023Article
- Accelerating Opioid Use Disorders Research by Integrating Multiple Data Modalities.Complex psychiatry · 2022Article
- Emerging technologies and their impact on regulatory science.Experimental biology and medicine (Maywood, N.J.) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 7 institutions in 2 countries.
Funding
Abstract
Opioid use disorder (OUD) is diagnosed using the qualitative criteria defined by the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). Diagnostic biomarkers for OUD do not currently exist. Our study focused on developing objective biological markers to differentiate chronic opiate users with OUD from chronic opiate users without OUD. Using biospecimens from the Golestan Cohort Study, we compared the metabolomics profiles of high opium users who were diagnosed as OUD positive with high opium users who were diagnosed as OUD negative. High opium use was defined as maximum weekly opium usage greater than or equal to the median usage (2.4 g per week), and OUD was defined as having 2 or more DSM-5 criteria in any 12-month period. Among the 218 high opium users in this study, 80 were diagnosed as OUD negative, while 138 were diagnosed as OUD positive. Seven hundred and twelve peaks differentiated high opium users diagnosed as OUD positive from high opium users diagnosed as OUD negative. Stepwise logistic regression modeling of subject characteristics data together with the 712 differentiating peaks revealed a signature that is 95% predictive of an OUD positive diagnosis, a significant (p < 0.0001) improvement over a 63% accurate prediction based on subject characteristic data for these samples. These results suggest that a metabolic profile can be used to predict an OUD positive diagnosis.
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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.