Evidence map›Paper›PMID 39549364›Full record

ArticleDrug and alcohol dependence2024

An updated view on the influence of initial opioid prescription characteristics on long-term opioid use among opioid naïve patients.

Allen M Smith, Anuj Shah, Bradley C Martin

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Allen M SmithDivision of Pharmaceutical Evaluation and Policy, Department of Pharmacy Practice, University of Arkansas for Medical Sciences, 4301 W. Markham, slot 522, Little Rock, AR 72205, USA. Electronic address: amsmith2@uams.edu.
Anuj ShahAstraZeneca, 1 Medimmune Way, Gaithersburg, MD 20878, USA. Electronic address: shah.anuj507@gmail.com.
Bradley C MartinDivision of Pharmaceutical Evaluation and Policy, Department of Pharmacy Practice, University of Arkansas for Medical Sciences, 4301 W. Markham, slot 522, Little Rock, AR 72205, USA. Electronic address: bmartin@uams.edu.

Funding

Expanding Translational Research in ArkansasUL1TR003107 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI JAMES, LAURA P · 2019 to 2023
$21.6M
Translational Training in AddictionT32DA022981 · NIDA · UNIV OF ARKANSAS FOR MED SCIS · PI Melissa Jean Zielinski · 2009 to 2026
$6.1M
NCATS NIH HHS UL1 TR003107NIDA NIH HHS T32 DA022981
6 · The paper itself

Abstract

objectivesThis retrospective cohort study provides an updated view on the association between the likelihood of long-term opioid use (LTOU) and characteristics of the initial opioid prescription (dose, opioid type) and initial opioid prescription episode (days' supplied) among opioid-naïve patients utilizing IQVIA PharMetrics®Plus for Academics database representative of commercially insured patients in the US.

methodsKaplan-Meier estimates were used to determine opioid continuation likelihood at 365 days stratified by the characteristics of the initial opioid prescription and initial opioid prescription episode. Cox-proportional hazard models were estimated to determine the strength of association between initial opioid prescription characteristics and opioid continuation.

resultsA total of 578,403 cancer-free, SUD-free, opioid-naïve subjects aged ≥14 years that filled ≥1 opioid prescriptions between April 13, 2016 and April 18, 2020 were identified and categorized based on time to opioid discontinuation. After accounting for censoring, 5.05 % of persons continued opioid use for ≥365 days. Compared to a 1-2 days' supply (DS), the likelihood of opioid discontinuation was consistently lower with higher DS [HRs (CIs): 3-4 days' supply = 0.66 (0.65-0.66); 5-7 DS = 0.41 (0.41-0.41); 8-10 DS = 0.33 (0.33-0.34); 11-14 DS = 0.30 (0.29-0.31); 15-21 DS = 0.26 (0.26-0.27); ≥22 DS = 0.17 (0.17-0.18)]. These associations between increased DS and decreased likelihood of discontinuing opioid remained consistent across different pain etiologies.

conclusionsIn this era of more conservative opioid prescribing, increases in DS remains the strongest factor associated with a higher likelihood of LTOU.

Indexed as

Analgesics, OpioidAdolescentAdultAgedCohort StudiesDrug PrescriptionsFemaleHumansMaleMiddle AgedOpioid-Related DisordersPractice Patterns, Physicians'Retrospective StudiesYoung AdultAnalgesics, Opioiddays’ supplylong-term opioid usepain etiologyprescribed opioids

Identifiers

PMID39549364
PMCPMC11924105

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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.