Evidence map›Paper›PMID 39286536›Full record

ArticleDrug and alcohol dependence reports2024

High-risk use of prescription opioids among patients treated for alcohol problems in New York State. A repeated cross-sectional study, 2005-2018.

Tzu-Yin Kuo, Chi-Hua Lu, Zackary Falls, Gail Jette, Walter Gibson, Peter L Elkin, Kenneth E Leonard, Edward M Bednarczyk, David M Jacobs

Abstract read
In one paragraph

Article in Drug and alcohol dependence reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Tzu-Yin KuoUniversity at Buffalo School of Pharmacy and Pharmaceutical Sciences, Buffalo, NY, USA.
Chi-Hua LuUniversity at Buffalo School of Pharmacy and Pharmaceutical Sciences, Buffalo, NY, USA.
Zackary FallsUniversity at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY, USA.
Gail JetteNew York State Office of Addiction Services and Supports, Albany, NY, USA.
Walter GibsonUniversity at Buffalo School of Pharmacy and Pharmaceutical Sciences, Buffalo, NY, USA.
Peter L ElkinUniversity at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY, USA.
Kenneth E LeonardUniversity at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY, USA.
Edward M BednarczykUniversity at Buffalo School of Pharmacy and Pharmaceutical Sciences, Buffalo, NY, USA.
David M JacobsUniversity at Buffalo School of Pharmacy and Pharmaceutical Sciences, Buffalo, NY, USA.

Funding

University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
National Library of Medicine Conference 2022T15LM012495 · NLM · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI PETER L. ELKIN · 2017 to 2026
$4.3M
A translational bioinformatics approach to elucidate and mitigate polypharmacy induced adverse drug reactionsK01DA056690 · NIDA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Zackary Michael Falls · 2022 to 2026
$1.0M
Integrative Informatics Approach to Predict Readmissions and Improve Outcomes in COPDK23HL153582 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI JACOBS, DAVID · 2021 to 2025
$962k
Pain Medication Prescriptions and Misuse Following Treatment for Alcohol Use DisordersR21AA026954 · NIAAA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI ELKIN, PETER L., LEONARD, KENNETH E · 2018 to 2019
$386k
NCATS NIH HHS UL1 TR001412NHLBI NIH HHS K23 HL153582NIAAA NIH HHS R21 AA026954NIDA NIH HHS K01 DA056690NLM NIH HHS T15 LM012495
6 · The paper itself

Abstract

Background: Patients with alcohol use disorder (AUD) and high-risk opioid use are at risk of serious complications. The purpose of this study was to estimate the prevalence of and factors associated with high-risk opioid use in patients with an alcohol use problem from 2005 to 2018. Methods: This repeated cross-sectional study analyzed data from first admissions for alcohol treatment (2005-2018) to the NYS Office of Addiction Services and Supports merged with Medicaid Claims Data. High-risk opioid use was defined as opioid dose ≥50 morphine mg equivalents (MME) per day; opioid prescriptions overlapping ≥7 days; opioids for chronic pain >90 days or opioids for acute pain >7 days. Results: Patients receiving ≥50 MME increased from 690 to 3226 from 2005 to 2010; then decreased to 2330 in 2018. From 2005-2011, patients with opioid prescriptions overlapping ≥7 days increased from 226 to 1594 then decreased to 892 in 2018. From 2005-2010, opioid use >7 days for acute pain increased from 133 to 970 and plateaued after 2010. From 2005-2018, patients who received opioids >90 days for chronic pain trended from 186 to 1655. White patients, females, age 36-55, patients with chronic and acute pain diagnoses had the highest rates of high-risk use. Conclusions: The prevalence of high-risk opioid use in patients with alcohol use problems increased from 2005 to 2011, and generally decreased after 2010. However, prevalence of opioids >90 days for chronic pain trended up from 2005 to 2018. High-risk opioid use among patients with AUD emphasizes the need to develop interventional strategies to improve patient care.

Indexed as

Alcohol use disorderHigh-risk useOpioidsPain

Identifiers

PMID39286536
PMCPMC11403464

What OpenQuestion holds

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LicenceCC BY-NC
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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.