Evidence map›Paper›PMID 35381052›Full record

ArticlePloS one2022

Opioid-related overdose and chronic use following an initial prescription of hydrocodone versus oxycodone.

Scott G Weiner, Michelle A Hendricks, Sanae El Ibrahimi, Grant A Ritter, Sara E Hallvik, Christi Hildebran, Roger D Weiss, Edward W Boyer, Diana P Flores, Lewis S Nelson and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. 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.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 1 country.

Scott G WeinerDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.ORCID 0000-0002-4672-5184
Michelle A HendricksDivision of Research and Evaluation, Comagine Health, Portland, Oregon, United States of America.
Sanae El IbrahimiDivision of Research and Evaluation, Comagine Health, Portland, Oregon, United States of America.
Grant A RitterBrandeis University, Waltham, Massachusetts, United States of America.
Sara E HallvikDivision of Research and Evaluation, Comagine Health, Portland, Oregon, United States of America.
Christi HildebranDivision of Research and Evaluation, Comagine Health, Portland, Oregon, United States of America.
Roger D WeissHarvard Medical School, Boston, Massachusetts, United States of America.
Edward W BoyerDepartment of Emergency Medicine, Ohio State University, Columbus, Ohio, United States of America.
Diana P FloresDivision of Research and Evaluation, Comagine Health, Portland, Oregon, United States of America.
Lewis S NelsonDepartment of Emergency Medicine Rutgers New Jersey Medical School, Newark, New Jersey, United States of America.
Peter W KreinerBrandeis University, Waltham, Massachusetts, United States of America.
Michael A FischerSection of General Internal Medicine, Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts, United States of America.ORCID 0000-0002-4685-164X
Brandeis University · USBoston University · USBrigham and Women's Hospital · USHarvard University · USRutgers, The State University of New Jersey · USThe Ohio State University · USUniversity of Nevada, Las Vegas · US

Funding

Using a Novel Comprehensive Linked Dataset to Determine Early Predictors of Opioid OverdoseR01DA044167 · NIDA · BRIGHAM AND WOMEN'S HOSPITAL · PI WEINER, SCOTT GORDON · 2018 to 2022
$2.6M
Prescribing of opioids at hospital discharge and associated adverse patient outcomesR01HS026753 · AHRQ · HARVARD MEDICAL SCHOOL · PI JENA, ANUPAM BAPU · 2019 to 2023
$1.9M
NIDA National Early Warning System Network (iN3): An Innovative ApproachR56DA038366 · NIDA · WRIGHT STATE UNIVERSITY · PI BOYER, EDWARD W, CARLSON, ROBERT GEOFFREY · 2014 to 2014
$300k
AHRQ HHS R01 HS026753NIDA NIH HHS R01 DA044167NIDA NIH HHS R56 DA038366
6 · The paper itself

Abstract

backgroundHydrocodone and oxycodone are prescribed commonly to treat pain. However, differences in risk of opioid-related adverse outcomes after an initial prescription are unknown. This study aims to determine the risk of opioid-related adverse events, defined as either chronic use or opioid overdose, following a first prescription of hydrocodone or oxycodone to opioid naïve patients.

methodsA retrospective analysis of multiple linked public health datasets in the state of Oregon. Adult patients ages 18 and older who a) received an initial prescription for oxycodone or hydrocodone between 2015-2017 and b) had no opioid prescriptions or opioid-related hospitalizations or emergency department visits in the year preceding the prescription were followed through the end of 2018. First-year chronic opioid use was defined as ≥6 opioid prescriptions (including index) and average ≤30 days uncovered between prescriptions. Fatal or non-fatal opioid overdose was indicated from insurance claims, hospital discharge data or vital records.

resultsAfter index prescription, 2.8% (n = 14,458) of individuals developed chronic use and 0.3% (n = 1,480) experienced overdose. After adjustment for patient and index prescription characteristics, patients receiving oxycodone had lower odds of developing chronic use relative to patients receiving hydrocodone (adjusted odds ratio = 0.95, 95% confidence interval (CI) 0.91-1.00) but a higher risk of overdose (adjusted hazard ratio (aHR) = 1.65, 95% CI 1.45-1.87). Oxycodone monotherapy appears to greatly increase the hazard of opioid overdose (aHR 2.18, 95% CI 1.86-2.57) compared with hydrocodone with acetaminophen. Oxycodone combined with acetaminophen also shows a significant increase (aHR 1.26, 95% CI 1.06-1.50), but not to the same extent.

conclusionsAmong previously opioid-naïve patients, the risk of developing chronic use was slightly higher with hydrocodone, whereas the risk of overdose was higher after oxycodone, in combination with acetaminophen or monotherapy. With a goal of reducing overdose-related deaths, hydrocodone may be the favorable agent.

Indexed as

HydrocodoneOpiate OverdoseAcetaminophenAdolescentAdultAnalgesics, OpioidHumansOxycodonePrescriptionsRetrospective StudiesAcetaminophenAnalgesics, OpioidHydrocodoneOxycodone

Identifiers

PMID35381052
PMCPMC8982846
OpenAlexW4225922641

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.