Evidence map›Paper›PMID 38206669›Full record

ArticleJournal of studies on alcohol and drugs2024

Pain Predicts Dropout From Substance Use Treatment.

Hugh Farrior, Scott Teitelbaum, Ben Phalin, Amanda Janner, Laurie Solomon, Kent Mathias, Jason Hunt, Jeff Boissoneault, Ben Lewis

Abstract read
In one paragraph

Article in Journal of studies on alcohol and drugs, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Hugh FarriorDepartment of Psychiatry, University of Florida, Gainesville, Florida.
Scott TeitelbaumDepartment of Psychiatry, University of Florida, Gainesville, Florida.
Ben PhalinDepartment of Psychiatry, University of Florida, Gainesville, Florida.
Amanda JannerDepartment of Psychiatry, University of Florida, Gainesville, Florida.
Laurie SolomonDepartment of Psychiatry, University of Florida, Gainesville, Florida.
Kent MathiasDepartment of Psychiatry, University of Florida, Gainesville, Florida.
Jason HuntDepartment of Psychiatry, University of Florida, Gainesville, Florida.
Jeff BoissoneaultDepartment of Anesthesiology, University of Minnesota, Minneapolis, Minnesota.
Ben LewisDepartment of Psychiatry, University of Florida, Gainesville, Florida.

Funding

Enhancing Recovery Outcomes in Alcohol Use Disorder: Cognitive Training as an Adjunct to TreatmentK01AA026893 · NIAAA · UNIVERSITY OF FLORIDA · PI LEWIS, BEN · 2018 to 2022
$729k
NIAAA NIH HHS K01 AA026893
6 · The paper itself

Abstract

objectiveThis project aimed to characterize the relationship between physical pain experienced at time of entry to residential treatment for substance use disorders (SUDs) and the frequency of treatment dropout. We hypothesized that both endorsement of recent pain and higher magnitude of endorsed pain intensity would be associated with higher dropout rates. We further hypothesized that these effects would be exacerbated among patients with opioid use disorder (OUD).

methodParticipants included 1,095 individuals in residential treatment for SUD. Data were collected within 24 hours of treatment entry. Analyses were conducted using logistic regression with dropout as the dependent variable. Dropout was operationally defined as leaving treatment against medical advice or being discharged from treatment because of use of substances. Pain (including endorsement and intensity) was the primary independent variable in all analyses. Analyses included demographic and affective covariates and included both main effects of OUD and interaction terms between OUD and pain.

resultsPain endorsement was associated with greater frequency of dropout (odds ratio [OR] = 1.49,

conclusionsThese results underscore the import of integrating pain monitoring and pain interventions as core components of treatment for SUD. Our findings are highly consistent with a growing literature recognizing the impact of pain across a constellation of important treatment outcomes and provide novel data strongly suggesting that pain predicts early cessation of treatment.

Indexed as

Opioid-Related DisordersPainPatient DropoutsSubstance-Related DisordersAdultFemaleHumansMaleMiddle AgedResidential Treatment

Identifiers

PMID38206669
PMCPMC11095491

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.