Evidence map›Paper›PMID 40306644›Full record

ArticleJournal of medical Internet research2025

Challenging the Continued Usefulness of Social Media Recruitment for Surveys of Hidden Populations of People Who Use Opioids.

Elizabeth D Nesoff, Joseph J Palamar, Qingyue Li, Wenqian Li, Silvia S Martins

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

5 authors.

Elizabeth D NesoffDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.ORCID 0000-0001-8562-8646
Joseph J PalamarDepartment of Population Health, NYU Langone Health, New York, NY, United States.ORCID 0000-0002-8565-9415
Qingyue LiUniversity of Pennsylvania School of Social Policy and Practice, Philadelphia, PA, United States.ORCID 0009-0003-1260-4426
Wenqian LiUniversity of Pennsylvania School of Social Policy and Practice, Philadelphia, PA, United States.ORCID 0009-0008-2730-1221
Silvia S MartinsDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States.ORCID 0000-0003-3059-9993

Funding

The Impact of Community Infrastructure Reinvestment Programs on Opioid Misuse and Opioid OverdoseR01DA059371 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI Elizabeth Nesoff · 2023 to 2026
$3.0M
New psychoactive substance exposure among NYC nightclub and festival attendeesR01DA057289 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Joseph J Palamar · 2023 to 2026
$2.7M
Investigating the Ketamine Landscape: Availability, Medical and Recreational Use, and EffectsR01DA060207 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Joseph J Palamar · 2024 to 2026
$2.1M
Neighborhoods, Mental Health, and the Prevention of Opioid Overdose: A Mixed Methods ApproachK01DA049900 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI NESOFF, ELIZABETH · 2020 to 2024
$851k
NCIPC CDC HHS R49 CE003083NIDA NIH HHS K01 DA049900NIDA NIH HHS R01 DA057289NIDA NIH HHS R01 DA059371NIDA NIH HHS R01 DA060207
6 · The paper itself

Abstract

Historically, recruiting research participants through social media facilitated access to people who use opioids, capturing a range of drug use behaviors. The current rapidly changing online landscape, however, casts doubt on social media's continued usefulness for study recruitment. In this viewpoint paper, we assessed social media recruitment for people who use opioids and described challenges and potential solutions for effective recruitment. As part of a study on barriers to harm reduction health services, we recruited people who use opioids in New York City to complete a REDCap (Research Electronic Data Capture; Vanderbilt University) internet-based survey using Meta (Facebook and Instagram), X (formerly known as Twitter), Reddit, and Discord. Eligible participants must have reported using opioids (heroin, prescription opioids, or fentanyl) for nonprescription purposes in the past 90 days and live or work in New York City. Data collection took place from August 2023 to November 2023. Including study purpose, compensation, and inclusion criteria caused Meta's social media platforms and X to flag our ads as "discriminatory" and "spreading false information." Listing incentives increased bot traffic across all platforms despite bot prevention activities (eg, reCAPTCHA and counting items in an image). We instituted a rigorous post hoc data cleaning protocol (eg, investigating duplicate IP addresses, participants reporting use of a fictitious drug, invalid ZIP codes, and improbable drug use behaviors) to identify bot submissions and repeat participants. Participants received a US $20 gift card if still deemed eligible after post hoc data inspection. There were 2560 submissions, 93.2% (n=2387) of which were determined to be from bots or malicious responders. Of these, 23.9% (n=571) showed evidence of a duplicate IP or email address, 45.9% (n=1095) reported consuming a fictitious drug, 15.8% (n=378) provided an invalid ZIP code, and 9.4% (n=225) reported improbable drug use behaviors. The majority of responses deemed legitimate (n=173) were collected from Meta (n=79, 45.7%) and Reddit (n=48, 27.8%). X's ads were the most expensive (US $1.96/click) and yielded the fewest participants (3 completed surveys). Social media recruitment of hidden populations is challenging but not impossible. Rigorous data collection protocols and post hoc data inspection are necessary to ensure the validity of findings. These methods may counter previous best practices for researching stigmatized behaviors.

Indexed as

Analgesics, OpioidOpioid-Related DisordersPatient SelectionSocial MediaAdultFemaleHumansMaleMiddle AgedNew York CitySurveys and QuestionnairesAnalgesics, Opioidaddictiondata collectiondrug overdosemental healthonline recruitmentonline surveyopioidsrecruitmentsocial mediasubstance usesubstance use disordersurveysurvey methods

Identifiers

PMID40306644
PMCPMC12079069

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.