Evidence map›Paper›PMID 37931982›Full record

ReviewRegional anesthesia and pain medicine2024

Perioperative opioid prescribing and iatrogenic opioid use disorder and overdose: a state-of-the-art narrative review.

Daniel B Larach, Jennifer F Waljee, Mark C Bicket, Chad M Brummett, Stephen Bruehl

Abstract readReview
In one paragraph

Review in Regional anesthesia and pain medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Predicting Extent of Opioid Use Following Cardiac Surgery: A Pilot Study.Journal of cardiothoracic and vascular anesthesia · 2025
    Observational
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

5 authors.

Daniel B LarachDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA daniel.larach@vumc.org.ORCID 0000-0001-8368-701X
Jennifer F WaljeeDepartment of Surgery, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-9878-5704
Mark C BicketDepartment of Anesthesiology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-9406-5953
Chad M BrummettDepartment of Anesthesiology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0003-0974-7242
Stephen BruehlDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0003-2264-4758

Funding

USC-Yale Roybal Center for Behavioral Interventions in AgingP30AG024968 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JASON N. DOCTOR · 2004 to 2026
$14.7M
TIPS: Training in Perioperative ScienceT32GM108554 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Eric J Delpire · 2014 to 2026
$3.7M
Stress and Opioid Misuse Risk: The Role of Endogenous Opioid and Endocannabinoid MechanismsR01DA050334 · NIDA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BRUEHL, STEPHEN · 2021 to 2025
$2.8M
Evaluating Policy Interventions to Decrease Excessive and Risky Perioperative Opioid PrescribingR01DA057284 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHUA, KAO-PING, WALJEE, JENNIFER FILIP · 2022 to 2025
$2.5M
Low-dose buccal buprenorphine: Relative abuse potential and postoperative analgesic acceptabilityK23DA057387 · NIDA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Daniel Larach · 2023 to 2026
$700k
NIA NIH HHS P30 AG024968NIDA NIH HHS K23 DA057387NIDA NIH HHS R01 DA050334NIDA NIH HHS R01 DA057284NIGMS NIH HHS T32 GM108554
6 · The paper itself

Abstract

background/importanceConsiderable attention has been paid to identifying and mitigating perioperative opioid-related harms. However, rates of postsurgical opioid use disorder (OUD) and overdose, along with associated risk factors, have not been clearly defined.

objectiveEvaluate the evidence connecting perioperative opioid prescribing with postoperative OUD and overdose, compare these data with evidence from the addiction literature, discuss the clinical impact of these conditions, and make recommendations for further study. EVIDENCE REVIEW: State-of-the-art narrative review.

findingsNearly all evidence is from large retrospective studies of insurance claims and Veterans Health Administration (VHA) data. Incidence rates of new OUD within the first year after surgery ranged from 0.1% to 0.8%, while rates of overdose events ranged from 0.01% to 0.8%. Higher rates were seen among VHA patients, which may reflect differences in data completeness and/or risk factors. Identified risk factors included those related to substance use (preoperative opioid use; non-opioid substance use disorders; preoperative sedative, anxiolytic, antidepressant, and gabapentinoid use; and postoperative new persistent opioid use (NPOU)); demographic attributes (chiefly male sex, younger age, white race, and Medicaid or no insurance coverage); psychiatric comorbidities such as depression, bipolar disorder, and PTSD; and certain medical and surgical factors. Several challenges related to the use of administrative claims data were identified; there is a need for more granular retrospective studies and, ideally, prospective cohorts to assess postoperative OUD and overdose incidence with greater accuracy.

conclusionsRetrospective data suggest an incidence of new postoperative OUD and overdose of up to 0.8% during the first year after surgery, but prospective studies are lacking.

Indexed as

Analgesics, OpioidOpioid-Related DisordersPostoperative PainDrug OverdoseDrug PrescriptionsHumansIatrogenic DiseaseOpiate OverdosePerioperative CarePractice Patterns, Physicians'Risk FactorsAnalgesics, OpioidAnalgesics, OpioidOpioid-Related DisordersPain Management

Identifiers

PMID37931982
PMCPMC11070448

What OpenQuestion holds

Textmetadata
LicenceTDM
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.