Evidence map›Paper›PMID 40489766›Full record

ArticleJournal of medical Internet research2025

Information Needs for Opioid Use Disorder Treatment Using Buprenorphine Product: Qualitative Analysis of Suboxone-Focused Reddit Data.

Madhusudan Basak, Omar Sharif, Sarah E Lord, Jacob T Borodovsky, Lisa A Marsch, Sandra A Springer, Edward V Nunes, Charles D Brackett, Luke J Archibald, Sarah M Preum

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Madhusudan BasakDepartment of Computer Science, Dartmouth College, Hanover, NH, United States.ORCID https://orcid.org/0009-0001-6762-9968
Omar SharifDepartment of Computer Science, Dartmouth College, Hanover, NH, United States.ORCID https://orcid.org/0000-0002-1971-6522
Sarah E LordCenter for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States.ORCID https://orcid.org/0000-0001-6164-5476
Jacob T BorodovskyCenter for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States.ORCID https://orcid.org/0000-0001-7112-5677
Lisa A MarschCenter for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, NH, United States.ORCID https://orcid.org/0000-0001-6429-0965
Sandra A SpringerSection of Infectious Disease, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States.ORCID https://orcid.org/0000-0002-6318-1000
Edward V NunesDepartment of Psychiatry, Division on Substance Use, Columbia University Irving Medical Center and New York State Psychiatric Institute, New York, NH, United States.ORCID https://orcid.org/0000-0002-2055-3425
Charles D BrackettDepartment of Medicine, Geisel School of Medicine, Dartmouth College, Hanover, NH, United States.ORCID https://orcid.org/0000-0002-6414-9141
Luke J ArchibaldDepartment of Psychiatry, Dartmouth Health, Lebanon, NH, United States.ORCID https://orcid.org/0000-0003-4704-4230
Sarah M PreumDepartment of Computer Science, Dartmouth College, Hanover, NH, United States.ORCID https://orcid.org/0000-0002-7771-8323

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Characterizing Information Needs and Peer Engagement Regarding Medication for Opioid Use Disorder on Social MediaR21DA059665 · NIDA · DARTMOUTH COLLEGE · PI PREUM, SARAH MASUD · 2024 to 2024
$451k
NIDA NIH HHS P30 DA029926NIDA NIH HHS R21 DA059665
6 · The paper itself

Abstract

backgroundBuprenorphine is a Food and Drug Administration-approved medication for opioid use disorder. However, individuals with opioid use disorder often report information needs regarding buprenorphine treatment on social media platforms such as Reddit. The field lacks a systematic approach to organizing these data and characterizing treatment information needs that may be unique and unavailable elsewhere.

objectiveIn this study, we curated and analyzed large-scale data from social media to characterize self-reported buprenorphine treatment information needs using a qualitative analysis.

methodsWe collected 15,253 Reddit posts from the subreddit r/Suboxone. Following a standard protocol and guidance from clinical experts, we first identified 5 main themes from the data and then manually coded 6000 posts based on these themes. Finally, we determined the most frequently appearing topics within each theme by analyzing samples from each group.

resultsAmong the 6000 posts, 2417 (40.3%) contained a single theme, 2160 (36%) contained two themes, and 834 (13.9%) contained three themes. The most frequent topics found across these themes included reports of psychological and physical effects during recovery, complexities in accessing buprenorphine, and significant information gaps regarding medication administration, tapering, and substance use at different stages of recovery. Moreover, self-treatment strategies and peer-driven advice revealed potential rumors and misinformation.

conclusionsOur findings can guide the design of interventions to improve patient education and communication. They also help address knowledge gaps and misinformation related to treatment. Additionally, the results can support hypothesis generation for future clinical research on medication for opioid use disorder treatment.

Indexed as

BuprenorphineOpiate Substitution TreatmentOpioid-Related DisordersSocial MediaHumansQualitative ResearchBuprenorphineaccessbuprenorphinemedication for opioid use disorderMOUDopioid use disorderpatient experienceRedditsocial mediasubstance usetaperingtreatment information needs

Identifiers

PMID40489766
PMCPMC12186000

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.