ArticleDrug and alcohol dependence2019
Utilizing social media to explore overdose and HIV/HCV risk behaviors among current opioid misusers.
Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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.
Who cites it
15 citing papers in PubMed.
- HOME protocol for a national online survey of people who inject drugs.Harm reduction journal · 2025Article
- Self-Reported Advantages and Disadvantages of Online Networking About Opioid Misuse Among Those Who Have or Are Currently Misusing Opioids.Substance use & misuse · 2025Article
- Changing Conversations: The Rise of Gender and Sexuality Discourse on Reddit.Archives of sexual behavior · 2025Article
- PrEP for people who use opioids: A NIDA clinical trials network survey study in Southern U.S. cities where HIV incidence is high.Drug and alcohol dependence · 2024Article
- Utilization of Social Media for the Prevention and Control of HIV/AIDS: A Scoping Review.Journal of multidisciplinary healthcare · 2024Article
- Investigating Substance Use via Reddit: Systematic Scoping Review.Journal of medical Internet research · 2023Article
- Automating Detection of Drug-Related Harms on Social Media: Machine Learning Framework.Journal of medical Internet research · 2023Article
- Digital Marketing: A Unique Multidisciplinary Approach towards the Elimination of Viral Hepatitis.Pathogens (Basel, Switzerland) · 2022Review
- Detecting risk level in individuals misusing fentanyl utilizing posts from an online community on Reddit.Internet interventions · 2021Article
- Determining the prevalence of cannabis, tobacco, and vaping device mentions in online communities using natural language processing.Drug and alcohol dependence · 2021Article
- Comparing the feasibility of four web-based recruitment strategies to evaluate the treatment preferences of rural and urban adults who misuse non-prescribed opioids.Preventive medicine · 2021Article
- COVID-19 Pandemic Impact on Substance Misuse: A Social Media Listening, Mixed Method Analysis.Brain sciences · 2021Article
- Characterizing Pathways of Non-oral Prescription Stimulant Non-medical Use Among Adults Recruited From Reddit.Frontiers in psychiatry · 2020Article
- What are Ophthalmology Patients Asking Online? An Analysis of the Eye Triage Subreddit.Clinical ophthalmology (Auckland, N.Z.) · 2020Article
- Examining Symptoms of Stimulant Misuse and Community Support Among Members of a Recovery-Oriented Online Community.Journal of psychoactive drugsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
introductionOpioid misuse has evolved into an American health crisis over the past decade, becoming a public health epidemic. Measures need to be taken to prevent overdoses by opioid misuse as well as prevent the transition into injection drug use, a high risk factor for contracting HIV/HCV. This study utilized social media to survey individuals currently misusing opioids to identify groups of individuals with different risk and use patterns.
methodsWe recruited participants for our online survey from Reddit. Five risk behaviors were used to characterize overdose and HIV/HCV risk groups. Gender, age, and socioeconomic status were also included in the analyses, as well as items outlining social media use surrounding opioids.
resultsTwo groups of participants were characterized by high likelihoods of different combinations of risky behaviors: (1) Overdose Risk Group and (2) Sexual Risk Group. Those in the Overdose Risk Group were more likely to be younger in age and female, and this group was more likely to desire or be ready for treatment relative to the lowest risk group. Those in the Sexual Risk Group were more likely to be of a minority race/ethnicity, to desire or be ready for treatment, and to post more often on Reddit about opioid use. DISCUSSION: The results of this study illustrate patterns of opioid use and risk behaviors to inform tailored outreach and treatment efforts for groups of opioid misusers and suggests the potential for utilizing social media as a tool to engage these individuals into treatment and recovery activities.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.