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Color Spot Test As a Presumptive Tool for the Rapid Detection of Synthetic Cathinones
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Published on: February 5, 2018

Detecting illicit opioid content on Twitter.

Babak Tofighi1,2, Yindalon Aphinyanaphongs1,3, Christina Marini1

  • 1Department of Population Health, New York University School of Medicine, New York, USA.

Drug and Alcohol Review
|March 24, 2020
PubMed
Summary
This summary is machine-generated.

Twitter can effectively detect posts from people who use opioids (PWUO) and content on opioid use disorder (OUD). This platform shows potential for identifying PWUO and OUD discussions, but further research is needed for treatment dissemination.

Keywords:
Twitter messagingopioid use disordersocial media

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Area of Science:

  • Social media analytics
  • Public health surveillance
  • Digital epidemiology

Background:

  • Opioid use disorder (OUD) is a significant public health concern.
  • Social media platforms like Twitter offer potential avenues for understanding public discourse on OUD.
  • Identifying individuals who use opioids (PWUO) and related content online is crucial for targeted interventions.

Purpose of the Study:

  • To assess the feasibility of using Twitter to detect posts from PWUO and content related to OUD.
  • To develop a multidimensional taxonomy for classifying relevant tweets.
  • To understand the nature of online conversations surrounding OUD.

Main Methods:

  • Collection of 23,827 tweets between June and October 2017.
  • Application of an inductive coding approach for content evaluation.
  • Manual classification of 17,420 tweets into user experience and content categories.

Main Results:

  • The most prevalent tweet categories included jokes/sarcasm about OUD (63%), treatment information (20%), and policy commentary (17%).
  • Posts by PWUO frequently discussed sourcing illicit opioids (49%), managing withdrawal symptoms (21%), and polysubstance use (17%).
  • Content from public health experts regarding OUD was infrequent (1%).

Conclusions:

  • Twitter presents a feasible method for identifying PWUO and OUD-related content.
  • Further investigation is required to determine Twitter's effectiveness in disseminating evidence-based information.
  • The platform's potential for facilitating connections to treatment and harm reduction services needs evaluation.