ReviewResuscitation plus2025
Opioid-associated cardiac arrest: A systematic review of intra-arrest naloxone and other opioid-specific advanced life-support therapies.
Review in Resuscitation plus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Naloxone administration associated with improved survival in PEA out-of-hospital cardiac arrests.Resuscitation · 2026Article
- Naloxone and Clinical Outcomes in Suspected Opioid-Associated Out-of-Hospital Cardiac Arrests.JAMA network open · 2026Article
- Inter-Rater Reliability and Acceptability of a Clinical Prediction Rule for Opioid-Associated Out-of-Hospital Cardiac Arrest.Prehospital emergency care · 2026Article
- Validation of the naloxone cardiac arrest decision instrument for identifying opioid-associated cardiac arrests.Resuscitation · 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: Cardiac arrest due to opioid toxicity is a leading cause of life-years lost in many countries. Since the pathophysiology of cardiac arrest from opioid toxicity is different than primary cardiac etiologies, we sought to identify opioid-specific resuscitative interventions demonstrating benefit. Methods: We searched Medline, EMBASE, CENTRAL, and the Web of Science (September 2024) for randomized or observational studies examining the benefit of opioid-specific advanced life support-level therapies for cardiac arrest. The primary and secondary outcomes were favourable neurological outcomes and survival at 30-days or hospital discharge, respectively. Risk of Bias and Certainty of Evidence were assessed with the ROBINS-I tool and GRADE methodology, respectively. Results: We reviewed 1051 studies; six observational studies met criteria for analysis. Five studies examined the association of naloxone and outcomes (three included undifferentiated cases, one included non-shockable initial rhythm cases, and two included cases with "drug overdose"): two reported that naloxone was associated with improved outcomes, and three did not detect an association. One additional study examined the association of bicarbonate and outcomes, reporting that bicarbonate was associated with decreased survival at hospital discharge. All studies were limited by serious risk of bias and indirectness, with the certainty of evidence judged to be very low. No studies exclusively examined opioid-related cases. Conclusions: There is currently no evidence demonstrating benefit for any advanced life support interventions specific to treating cardiac arrest from opioid toxicity. Data examining naloxone for undifferentiated or "drug-related" cardiac arrest are heterogenous with high risk of bias and low certainty of evidence.
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.