Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 346

The DOI matches its Crossref record; 152 of the 152 references it cites were found in a registry or an index.

Naloxone dosage for opioid reversal: current evidence and clinical implications

Open access
Rzasa Lynn, Rachael, Galinkin, JL·2018·Therapeutic Advances in Drug Safety

Abstract

Opioid-related mortality is a growing problem in the United States, and in 2015 there were over 33,000 opioid-related deaths. To combat this mortality trend, naloxone is increasingly being utilized in a pre-hospital setting by emergency personnel and prescribed to laypersons for out-of-hospital administration. With increased utilization of naloxone there has been a subsequent reduction in mortality following an opioid overdose. Reversal of opioid toxicity may precipitate an opioid-withdrawal syndrome. At the same time, there is a risk of inadequate response or re-narcotization after the administration of a single dose of naloxone in patients who have taken large doses or long-acting opioid formulations, as the duration of effect of naloxone is shorter than that of many opioid agonists. As out-of-hospital use of this medication is growing, so too is concern about effective but safe dosing.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/2042098617744161

Cites

152 of 152 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 152 references

Cited by

See all 346

Metadata

Authors
Rzasa Lynn, R., & Galinkin, J.
Venue
Therapeutic Advances in Drug Safety
Published
2017-12-13
Volume
9
Issue
1
Pages
63-88
ISSN
  • 2042-0986 (ISSN-L)
  • 2042-0994
OpenAlex
W2771307521
Cited by
346
References
152
FWCI
21.92
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Naloxone dosage for opioid reversal: current evidence and clinical implications. https://app.cochat.ai/papers/10.1177/2042098617744161
The paper
Rzasa Lynn, R., & Galinkin, J. (2018). Naloxone dosage for opioid reversal: current evidence and clinical implications. Therapeutic Advances in Drug Safety. https://doi.org/10.1177/2042098617744161

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.