ReviewNature reviews. Neuroscience2025
The neural circuits and signalling pathways of opioid use disorder.
Review in Nature reviews. Neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Contemporary evidence for central nervous system mechanisms underlying chronic pain perception, modulation, and chronification in adults: a scoping review.Frontiers in pain research (Lausanne, Switzerland) · 2026Pooled it
- Enhanced In Vivo Antinociceptive Activity and GC-MS Chemical Profiling of In Vitro-GrownMolecules (Basel, Switzerland) · 2026Article
- Natural Products as GPCR-Targeting Antidepressant Candidates: Advances and Opportunities.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Can the incentive-sensitization theory of addiction incorporate addiction to opioid drugs?Psychopharmacology · 2026Review
- Review
- Targeting Mu Opioid Receptor Neurons of the Habenula to Limit Naloxone Aversion.Biological psychiatry · 2026Article
- Substance abuse and inflammation: consequences beyond the brain.Trends in immunology · 2026Review
- Super-potent opioids could be safer-than-expected alternatives to conventional painkillers.Nature · 2026Article
- Article
- An analysis of the burden of drug use disorders from 1990 to 2023: differences between China, India, and the United States.Frontiers in pharmacology · 2026Article
- Mu-opioid and nociceptin receptors show divergent, cell-type-specific actions in the mesocorticolimbic reward system in opioid use disorder.Frontiers in cellular neuroscience · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The increasing prevalence of opioid use disorder (OUD) represents an important global public health crisis, often referred to as the 'opioid epidemic'. Opioids are known for their potent pain-relieving effects, but also have serious side effects, including OUD and respiratory depression, which can lead to fatal overdoses. To address this growing concern, we require a better understanding of the mechanisms underlying OUD, which typically begins with either medical or recreational opioid use and evolves into a complex and chronic brain disorder. In this Review, we highlight recent advances in our understanding of opioid receptors and the neural circuits in which they operate (including the broad network of circuits involved in reward and relief processing), focusing on the changes that follow long-term opioid exposure, abstinence and withdrawal. Additionally, we discuss recent findings that highlight the importance of the local cellular environment in shaping responses to these drugs. Overall, we aim to provide an updated overview of the field that may give us new insights into the multifaceted landscape of OUD.
Indexed as
Identifiers
41145836What Socratic 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 Socratic graph.