Evidence map›Paper›PMID 37217975›Full record

ArticleSubstance abuse treatment, prevention, and policy2023

Drug use patterns and factors related to the use and discontinuation of medications for opioid use disorder in the age of fentanyl: findings from a mixed-methods study of people who use drugs.

Jaclyn M W Hughto, Abigail Tapper, Sabrina S Rapisarda, Thomas J Stopka, Wilson R Palacios, Patricia Case, Joseph Silcox, Patience Moyo, Traci C Green

Open access · goldAbstract read
In one paragraph

Article in Substance abuse treatment, prevention, and policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

17 citing papers in PubMed, 22 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

9 authors at 6 institutions in 1 country.

Jaclyn M W HughtoDepartment of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, USA. Jaclyn_Hughto@Brown.edu.
Abigail TapperOpioid Policy Research Collaborative, The Heller School for Social Policy and Management, Brandeis University, Waltham, MA, USA.
Sabrina S RapisardaOpioid Policy Research Collaborative, The Heller School for Social Policy and Management, Brandeis University, Waltham, MA, USA.
Thomas J StopkaDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA.
Wilson R PalaciosSchool of Criminology and Justice Studies, University of Massachusetts Lowell, Lowell, MA, USA.
Patricia CaseBouve College of Health Sciences, Northeastern University, Boston, MA, USA.
Joseph SilcoxOpioid Policy Research Collaborative, The Heller School for Social Policy and Management, Brandeis University, Waltham, MA, USA.
Patience MoyoDepartment of Health Services, Policy and Practice, Brown University School of Public Health, Providence, RI, USA.
Traci C GreenOpioid Policy Research Collaborative, The Heller School for Social Policy and Management, Brandeis University, Waltham, MA, USA.
Brandeis University · USBrown University · USUniversity of Massachusetts Lowell · USNortheastern University · USTufts University · USUniversity of Massachusetts Boston · US

Funding

Impact of Medicaid Prescription Cap Policies on Treatment Outcomes for Opioid Use Disorder: A National Mixed Methods StudyR01DA057979 · NIDA · BROWN UNIVERSITY · PI Patience Moyo Dow, Jaclyn White Hughto · 2023 to 2026
$3.0M
Preventing Overdoses Involving Stimulants (POINTS)StudyR01CE003353 · CE · BROWN UNIVERSITY · PI GREEN, TRACI C, HUGHTO, JACLYN WHITE · 2021 to 2023
$1.1M
NCIPC CDC HHS U17 CE002724
6 · The paper itself

Abstract

backgroundMedications for opioid use disorder (MOUD; methadone, buprenorphine, naltrexone) are the most effective treatments for OUD, and MOUD is protective against fatal overdoses. However, continued illegal drug use can increase the risk of treatment discontinuation. Given the widespread presence of fentanyl in the drug supply, research is needed to understand who is at greatest risk for concurrent MOUD and drug use and the contexts shaping use and treatment discontinuation.

methodsFrom 2017 to 2020, Massachusetts residents with past-30-day illegal drug use completed surveys (N = 284) and interviews (N = 99) about MOUD and drug use. An age-adjusted multinomial logistic regression model tested associations between past-30-day drug use and MOUD use (current/past/never). Among those on methadone or buprenorphine (N = 108), multivariable logistic regression models examined the association between socio-demographics, MOUD type; and past-30-day use of heroin/fentanyl; crack; benzodiazepines; and pain medications. Qualitative interviews explored drivers of concurrent drug and MOUD use.

resultsMost (79.9%) participants had used MOUD (38.7% currently; 41.2% past), and past 30-day drug use was high: 74.4% heroin/fentanyl; 51.4% crack cocaine; 31.3% benzodiazepines, and 18% pain medications. In exploring drug use by MOUD history, multinomial regression analyses found that crack use was positively associated with past and current MOUD use (outcome referent: never used MOUD); whereas benzodiazepine use was not associated with past MOUD use but was positively associated with current use. Conversely, pain medication use was associated with reduced odds of past and current MOUD use. Among those on methadone or buprenorphine, separate multivariable logistic regression models found that benzodiazepine and methadone use were positively associated with heroin/fentanyl use; living in a medium-sized city and sex work were positively associated with crack use; heroin/fentanyl use was positively associated with benzodiazepine use; and witnessing an overdose was inversely associated with pain medication use. Many participants qualitatively reported reducing illegal opioid use while on MOUD, yet inadequate dosage, trauma, psychological cravings, and environmental triggers drove their continued drug use, which increased their risk of treatment discontinuation and overdose.

conclusionsFindings highlight variations in continued drug use by MOUD use history, reasons for concurrent use, and implications for MOUD treatment delivery and continuity.

Indexed as

BuprenorphineCrack CocaineDrug OverdoseOpioid-Related DisordersAnalgesics, OpioidBenzodiazepinesFentanylHeroinHumansMethadoneOpiate Substitution TreatmentPainPharmaceutical PreparationsAnalgesics, OpioidBenzodiazepinesBuprenorphineCrack CocaineFentanylHeroinMethadonePharmaceutical PreparationsBenzodiazepinesBuprenorphineCocaineCrackDrug UseFentanylMedications for opioid Use DisorderMethadoneNaltrexoneOverdosePain Medication

Identifiers

PMID37217975
PMCPMC10201806
OpenAlexW4377293079

What OpenQuestion holds

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LicenceCC BY
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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.