Evidence map›Paper›PMID 39343100›Full record

ArticleJournal of the American Pharmacists Association : JAPhA

Differences in prescribing patterns of opioid dependence drugs among patients with primary alcohol use problems and opioid use disorders within New York State by social determinant factors, 2005-2018.

Chi-Hua Lu, Hsuan-Yun Su, Zackary Falls, David M Jacobs, Qiuyi Zhang, Walter Gibson, Gail Jette, Debanjan Paul, Peter L Elkin, Kenneth E Leonard and 1 more

Abstract read
In one paragraph

Article in Journal of the American Pharmacists Association : JAPhA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Chi-Hua Lu
Hsuan-Yun Su
Zackary Falls
David M Jacobs
Qiuyi Zhang
Walter Gibson
Gail Jette
Debanjan Paul
Peter L Elkin
Kenneth E Leonard
Edward M Bednarczyk

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

backgroundThe increase in alcohol use problems and opioid use disorder (OUD) highlights the need for research on effective medication treatments for patients with dual diagnoses.

objectivesThis study analyzed trends and social disparities in prescribing OUD medications for patients who initially had alcohol use problems and later received their first OUD diagnosis.

methodsThis study used merged data from the New York State Office of Addiction Services and Supports and the Medicaid to analyze individuals aged 18 years and older who initially had primary alcohol use problems and later had OUD for the first time between 2005 and 2018. It examined the rates of new buprenorphine and naltrexone prescriptions across various demographic and socioeconomic groups.

resultsAmong 27,029 clients, the average rate of new buprenorphine was 64.23 per 1000 clients (95% CI 61.30-67.15), with upward trends. The 18-35 age group had the highest buprenorphine utilization (111.48 per 1000 clients) and highest increase rates compared with other age groups. The white non-Hispanic group had the highest rates of buprenorphine (119.23 per 1000 clients) and showed larger increase over time compared with other race or ethnicity groups. Disabled patients showed slower increasing rates of buprenorphine than other groups. Upward trends were observed in naltrexone. All observed differences were statistically significant (P < 0.05).

conclusionsTrends showed increased use of OUD medications, with varying rates of buprenorphine utilization across different ages, races, and employment statuses. Despite this, the rates of receiving new buprenorphine remained low, suggesting a need for innovative methods to expand access to treatments.

Indexed as

AlcoholismOpioid-Related DisordersPractice Patterns, Physicians'Social Determinants of HealthAdolescentAdultAgedAnalgesics, OpioidBuprenorphineFemaleHumansMaleMedicaidMiddle AgedNaltrexoneNarcotic AntagonistsAnalgesics, OpioidBuprenorphineNaltrexoneNarcotic Antagonists

Identifiers

PMID39343100
PMCPMC11912015

What OpenQuestion holds

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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.