Evidence map›Paper›PMID 33348147›Full record

ArticleAddictive behaviors2021

High prevalence of co-occurring substance use in individuals with opioid use disorder.

James J Mahoney, Erin L Winstanley, Laura R Lander, James H Berry, Patrick J Marshalek, Marc W Haut, Jennifer L Marton, Wesley D Kimble, Matthew Armistead, Sijin Wen and 2 more

Open access · greenAbstract read
In one paragraph

Article in Addictive behaviors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

28 citing papers in PubMed, 60 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

James J MahoneyWest Virginia University School of Medicine (WVU SOM), Morgantown, WV 26505, USA; Department of Behavioral Medicine and Psychiatry, Department of Neuroscience, Rockefeller Neuroscience Institute, WVU SOM, Morgantown, WV 26505, USA. Electronic address: james.mahoney@hsc.wvu.edu.
Erin L WinstanleyWest Virginia University School of Medicine (WVU SOM), Morgantown, WV 26505, USA; Department of Behavioral Medicine and Psychiatry, Department of Neuroscience, Rockefeller Neuroscience Institute, WVU SOM, Morgantown, WV 26505, USA.
Laura R LanderWest Virginia University School of Medicine (WVU SOM), Morgantown, WV 26505, USA; Department of Behavioral Medicine and Psychiatry, Department of Neuroscience, Rockefeller Neuroscience Institute, WVU SOM, Morgantown, WV 26505, USA.
James H BerryWest Virginia University School of Medicine (WVU SOM), Morgantown, WV 26505, USA; Department of Behavioral Medicine and Psychiatry, Department of Neuroscience, Rockefeller Neuroscience Institute, WVU SOM, Morgantown, WV 26505, USA.
Patrick J MarshalekWest Virginia University School of Medicine (WVU SOM), Morgantown, WV 26505, USA; Department of Behavioral Medicine and Psychiatry, Department of Neuroscience, Rockefeller Neuroscience Institute, WVU SOM, Morgantown, WV 26505, USA.
Marc W HautWest Virginia University School of Medicine (WVU SOM), Morgantown, WV 26505, USA; Department of Behavioral Medicine and Psychiatry, Department of Neuroscience, Rockefeller Neuroscience Institute, WVU SOM, Morgantown, WV 26505, USA; Department of Neurology, Department of Radiology, Rockefeller Neuroscience Institute, WVU SOM, Morgantown, WV 26505, USA.
Jennifer L MartonWest Virginia University School of Medicine (WVU SOM), Morgantown, WV 26505, USA; Department of Behavioral Medicine and Psychiatry, Department of Neuroscience, Rockefeller Neuroscience Institute, WVU SOM, Morgantown, WV 26505, USA.
Wesley D KimbleWest Virginia University School of Medicine (WVU SOM), Morgantown, WV 26505, USA; West Virginia Clinical and Translational Science Institute, Morgantown, WV 26505, USA.
Matthew ArmisteadWest Virginia University School of Medicine (WVU SOM), Morgantown, WV 26505, USA; West Virginia Clinical and Translational Science Institute, Morgantown, WV 26505, USA.
Sijin WenDepartment of Biostatistics, WVU School of Public Health, Morgantown, WV 26505, USA; West Virginia Clinical and Translational Science Institute, Morgantown, WV 26505, USA.
Yilin CaiDepartment of Biostatistics, WVU School of Public Health, Morgantown, WV 26505, USA.
Sally L HodderWest Virginia University School of Medicine (WVU SOM), Morgantown, WV 26505, USA; West Virginia Clinical and Translational Science Institute, Morgantown, WV 26505, USA.
West Virginia University · USBlanchette Rockefeller Neurosciences Institute · USWest Virginia University Hospitals · US

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Sally Lynn Hodder · 2012 to 2026
$81.0M
NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

objectiveFunding to address the current opioid epidemic has focused on treatment of opioid use disorder (OUD); however, rates of other substance use disorders (SUDs) remain high and non-opioid related overdoses account for nearly 30% of overdoses. This study assesses the prevalence of co-occurring substance use in West Virginia (WV) to inform treatment strategies. The objective of this study was to assess the prevalence of, and demographic and clinical characteristics (including age, gender, hepatitis C virus (HCV) status) associated with, co-occurring substance use among patients with OUD in WV.

methodsThis retrospective study utilized the West Virginia Clinical and Translation Science Institute Integrated Data Repository, comprised of Electronic Medical Record (EMR) data from West Virginia University Medicine. Deidentified data were extracted from inpatient psychiatric admissions and emergency department (ED) healthcare encounters between 2009 and 2018. Eligible patients were those with OUD who had a positive urine toxicology screen for opioids at the time of their initial encounter with the healthcare system. Extracted data included results of comprehensive urine toxicology testing during the study timeframe.

results3,127 patients met the inclusion criteria of whom 72.8% had co-occurring substance use. Of those who were positive for opioids and at least one additional substance, benzodiazepines were the most common co-occurring substances (57.4% of patients yielded a positive urine toxicology screen for both substances), followed by cannabis (53.1%), cocaine (24.5%) and amphetamine (21.6%). Individuals who used co-occurring substances were younger than those who were positive for opioids alone (P < 0.001). There was a higher prevalence of individuals who used co-occurring substances that were HCV positive in comparison to those who used opioids alone (P < 0.001). There were limited gender differences noted between individuals who used co-occurring substances and those who used opioids alone. Among ED admissions who were positive for opioids, 264 were diagnosed with substance toxicity/overdose, 78.4% of whom had co-occurring substance use (benzodiazepines: 65.2%; cannabis: 44.4%; cocaine: 28.5%; amphetamine: 15.5%). Across the 10-year timespan, the greatest increase for the entire sample was in the rate of co-occurring amphetamine and opioid use (from 12.6% in 2014 to 47.8% in 2018).

conclusionsThese data demonstrate that the current substance use epidemic extends well beyond opioids, suggesting that comprehensive SUD prevention and treatment strategies are needed, especially for those substances which do not yet have any evidence-based and/or medication treatments available.

Indexed as

Drug OverdoseOpioid-Related DisordersAnalgesics, OpioidHumansPrevalenceRetrospective StudiesWest VirginiaAnalgesics, OpioidAmphetamineBenzodiazepineCannabisCocaineOpioidPolysubstance

Identifiers

PMID33348147
PMCPMC7934179
OpenAlexW3107191109

What OpenQuestion holds

Textmetadata
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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.