ReviewAddiction (Abingdon, England)2025
Naloxone dosing in the era of synthetic opioids: Applying the Goldilocks principle.
Review in Addiction (Abingdon, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Approved Medications for Substance Use Disorders: An Umbrella Review of Systematic Reviews and Completed Phase 3 Randomized Controlled Trials.CNS drugs · 2026Pooled it
- 'If you've ever experienced it, you'd feel differently': Exploring willingness and skepticism toward using higher dose naloxone products among people who use drugs in Maryland, United States.Addiction (Abingdon, England) · 2026Article
- History of Naloxone Possession Among Rural and Urban Individuals Participating in Prison-Based Treatment: An Observational Study.Substance use & addiction journal · 2026Observational
- Naloxone reversal of fentanyl-induced respiratory depression versus naloxone-induced precipitated withdrawal: anFrontiers in pharmacology · 2026Article
- Naloxone dosing in the era of synthetic opioids: Applying the Goldilocks principle.Addiction (Abingdon, England) · 2025Review
- From fairytale to clinical practice: A response to commentaries.Addiction (Abingdon, England) · 2025Article
- Naloxone dosing: An evolving unregulated drug landscape, care setting considerations, and the need for research.Addiction (Abingdon, England) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The opioid overdose epidemic remains a critical public health crisis. In recent years, synthetic opioids like fentanyl and nitazenes, have driven a sharp rise in deaths. Naloxone, an opioid receptor antagonist, has been established as a key intervention for reversing opioid overdoses and saving lives. However, there remains a critical need to optimize naloxone dosing strategies. This article examines the challenges of both under-dosing and over-antagonism in naloxone administration, emphasizing the importance of a tailored approach to overdose management. A 'just the right dose' approach is essential for minimizing the risks of over-antagonism while still reversing opioid overdose. This involves starting with a modest naloxone dose and carefully titrating it based on the patient's response, considering factors such as opioid type, overdose severity, and opioid tolerance. A tailored approach to naloxone dosing may present challenges for non-medically trained responders but it can ensure that as many people as possible receive the right dose of naloxone when they need it. Training programs should also emphasize the importance of first aid and supportive care, including airway management and alerting emergency services, as well as careful monitoring of the patient's response.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.