Evidence map›Paper›PMID 39318859›Full record

ArticleSubstance abuse and rehabilitation2024

Incidence, Timing and Social Correlates of the Development of Opioid Use Disorder Among Clients Seeking Treatment for an Alcohol Use Problem: Changes Over the Three Waves of the Opioid Epidemic.

Zackary Falls, Xueqing Zhang, Peter L Elkin, David Jacobs, Edward M Bednarczyk, Walter Gibson, Gail P Jette, Kenneth E Leonard

Abstract read
In one paragraph

Article in Substance abuse and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Zackary Falls *Department of Biomedical Informatics and Clinical and Research Institute on Addiction, University at Buffalo, The State University of New York, Buffalo, New York, USA.ORCID 0000-0003-4116-0441
Xueqing Zhang *Department of Biostatistics and Clinical and Research Institute on Addiction, University at Buffalo, The State University of New York, Buffalo, New York, USA.
Peter L ElkinDepartment of Biomedical Informatics and Clinical and Research Institute on Addiction, University at Buffalo, The State University of New York, Buffalo, New York, USA.ORCID 0000-0001-9616-6811
David JacobsSchool of Pharmacy and Department of Epidemiology and Environmental Health, University at Buffalo, the State University of New York, Buffalo, New York, USA.
Edward M BednarczykSchool of Pharmacy, University at Buffalo, The State University of New York, Buffalo, New York, USA.ORCID 0000-0001-7918-9317
Walter GibsonSchool of Pharmacy, University at Buffalo, The State University of New York, Buffalo, New York, USA.
Gail P JetteDivision of Outcomes, Management, and Systems Information, Office of Addiction Services and Supports, Albany NY, United States.
Kenneth E Leonard *Department of Psychiatry and Clinical and Research Institute on Addiction, University at Buffalo, The State University of New York, Buffalo, New York, USA.ORCID 0000-0001-6658-1264

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

Introduction: Opioid use disorder (OUD) and opioid overdose (OD) have shown to be strongly associated with alcohol use disorder (AUD). As a potential target population for secondary prevention, we examined the incidence and timing of OUD/OD among clients seeking treatment for alcohol problems and how this has changed over the three waves of the opioid epidemic corresponding to the primary opioid involved in fatal ODs, prescription painkillers (2007-2009), heroin (2010-2012), and fentanyl (2013-2016). We also examined social determinants of health as predictors of OUD/OD. Methods: Clients (N = 59,186) presenting for a first treatment for alcohol use problems were extracted from the Client Data System (CDS) of the New York State Office of Addiction Services and Support (OASAS) and New York State (NYS) Medicaid Data Warehouse. Using this cohort, we employed the Kaplan-Meier method to determine the survival probabilities for patients admitted in each of the three waves of the epidemic. Results: Patients in Cohort 3 (2013-2016) were diagnosed with OUD/OD more rapidly than patients in Cohort 1 (2007-2009) or Cohort 2 (2010-2012), although the overall estimated OUD/OD rate was comparable across the three cohorts. Discussion: These findings provide a useful estimate of the incidence and the expected time frame of an opioid use disorder in clients with an alcohol use problem. Moreover, it suggests that as the opioid epidemic progressed, OUD/OD developed more rapidly but the overall prevalence did not increase.

Indexed as

alcoholincidenceopioid overdoseopioid use disordersubstance use

Identifiers

PMID39318859
PMCPMC11420901

What OpenQuestion holds

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Registered trials

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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.