Evidence map›Paper›PMID 37113804›Full record

ArticleJMIR infodemiology

Synthetic Cannabinoids in Prisons: Content Analysis of TikToks.

Tiana J McMann, Alec Calac, Matthew Nali, Raphael Cuomo, James Maroulis, Tim K Mackey

Open access · goldAbstract read
In one paragraph

Article in JMIR infodemiology. 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
0.4field-weighted citation impact, top 44% of its field
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, 3 citations in OpenAlex.

  1. Article
  2. Review
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

6 authors at 4 institutions in 1 country.

Tiana J McMannGlobal Health Program Department of Anthropology University of California San Diego La Jolla, CA United States.ORCID https://orcid.org/0000-0003-1964-5549
Alec CalacGlobal Health Policy and Data Institute San Diego, CA United States.ORCID https://orcid.org/0000-0003-1348-9717
Matthew NaliGlobal Health Policy and Data Institute San Diego, CA United States.ORCID https://orcid.org/0000-0002-0565-8202
Raphael CuomoGlobal Health Policy and Data Institute San Diego, CA United States.ORCID https://orcid.org/0000-0002-8179-0619
James MaroulisGlobal Health Policy and Data Institute San Diego, CA United States.ORCID https://orcid.org/0000-0001-8504-371X
Tim K MackeyGlobal Health Program Department of Anthropology University of California San Diego La Jolla, CA United States.ORCID https://orcid.org/0000-0002-2191-7833
University of California San Diego · USUniversity of San Diego · USGlobal Policy Institute · USSan Diego Biomedical Research Institute · US

Funding

Using Machine Learning to Detect and Characterize Synthetic Psychoactive Drug Digital Marketing and DistributionR21DA050689 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MACKEY, TIMOTHY KEN · 2020 to 2021
$434k
NIDA NIH HHS 75N95020C00025NIDA NIH HHS R21 DA050689
6 · The paper itself

Abstract

Background: Synthetic cannabinoids are a significant public health concern, especially among incarcerated populations due to increased reports of abuse. Recent news reports have highlighted the severe consequences of K2/Spice, a synthetic cannabinoid, among the prison population in the United States. Despite regulations against cell phone use, inmates use TikTok to post K2/Spice-related content. Objective: This study aimed to examine TikTok posts for use and illicit distribution of psychoactive substances (eg, K2/Spice) among incarcerated populations. Methods: The study collected TikTok videos associated with the #k2spice hashtag and used a data collection approach similar to snowball sampling. Inductive coding was used to conduct content analysis of video characteristics. Videos were manually annotated to generate binary classifications related to the use of K2/Spice as well as selling and buying activities associated with it. Statistical analysis was used to determine associations between a video's user engagement and an intent to buy or sell K2/Spice. Results: A total of 89 TikTok videos with the hashtag #k2spice were manually coded, with 40% (n=36) identified as displaying the use, solicitation, or adverse effects of K2/Spice among the prison population. Of them, 44.44% (n=16) were in a prison-based setting documenting adverse effects including possible overdose. Videos with higher user engagement were positively correlated with comments indicating an intent to buy or sell K2/Spice. Conclusions: K2/Spice is a drug subject to abuse among prison inmates in the United States, including depictions of its harmful effects being recorded and shared on TikTok. Lack of policy enforcement on TikTok and the need for better access to treatment services within the prison system may be exacerbating substance use among this highly vulnerable population. Minimizing the potential individual harm of this content on the incarcerated population should be a priority for social media platforms and the criminal justice system alike.

Indexed as

cannabinoidharmfulillicitK2/Spiceprisonpsychoactivesocial mediasubstance usesubstance use disordersyntheticsynthetic drugsTikTokvideo

Identifiers

PMID37113804
PMCPMC9987188
OpenAlexW4225696771

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.