ArticleWorld journal of psychiatry2024
Personalized medicine and opioid use disorder.
Article in World journal of psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Drug-specific effects of anxiety on high-dose oxycodone: age as a modifier for oxycodone response.Behavioural pharmacology · 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
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Opioid use disorder (OUD) is a major public health problem affecting millions of people worldwide. Although OUD is a chronic and relapsing disorder, a variety of pharmacological and non-pharmacological interventions are available. Medication-assisted treatment of OUD generally relies on competition for opioid receptors against the addictive substance. The mechanisms of this competition are to block or inactivate the opioid receptor or activate the receptor with a substance that is intermittent or long acting. Methadone and buprenorphine are two United States Food and Drug Administration-approved medications that have long-term positive effects on the health of opioid-dependent individuals. Although clinical studies of drugs generally demonstrate efficacy in thousands of people and toxicity is excluded, it cannot be predicted whether the given drug will cause side effects in one of the patients at the treatment dose. Individual differences can be explained by many biological and environmental factors. Variations in genes encoding drug metabolism or cellular drug targets significantly explain the variability in drug response between individuals. Therefore, for the effects of candidate genes to be accepted and included in individual treatment protocols, it is important to repeat studies on individuals of different ethnic backgrounds and prove a similar effect.
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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 Socratic graph.