Changes in Online Psychoactive Substance Trade via Telegram during the COVID-19 Pandemic
- PMID: 34134108
- PMCID: PMC8339033
- DOI: 10.1159/000516853
Changes in Online Psychoactive Substance Trade via Telegram during the COVID-19 Pandemic
Abstract
Background: In this article, we present an evaluation of online psychoactive substance trade via Telegram, a free encrypted social media messenger service. The evaluation took place during the COVID-19 pandemic, which allowed us to monitor the effects of the spring 2020 lockdown in the Netherlands on substance trade via Telegram.
Objective: The objective of this study was to evaluate whether changes in psychoactive substance trade on Telegram markets in the Netherlands can be observed during the COVID-19 pandemic.
Results: Between December 2, 2019, and June 29, 2020, a total of 70,226 posts appeared in two analyzed Telegram groups. A total of 5,643 posts were psychoactive substance related. Based on the analyzed posts, Telegram is mostly a '"sellers" market as only a minority of the posts (6.3%) could be identified as a request for a substance. The proportion of posts related to specific substances varied between the periods before, during, and after the lockdown. The proportion of posts on the stimulants ecstasy, cocaine, and amphetamine was lower during the lockdown than before and after. For psychedelics - ketamine, lysergic acid diethylamide (LSD), and 2,5-dimethoxy-4-bromophenethylamine (2C-B) - and other substances, there was a relative increase in the number of posts during the lockdown, which was maintained after the lockdown.
Conclusions: Telegram analysis shows that in the Netherlands, online psychoactive substance trade may have been affected during the COVID-19 pandemic. The direction of this effect was different for different classes of substances.
Keywords: COVID-19; Online drug monitoring; Telegram.
© 2021 S. Karger AG, Basel.
Conflict of interest statement
The authors have no conflicts of interest to declare.
Figures
Similar articles
-
Health Pandemic and Social Media: A Content Analysis of COVID-Related Posts on a Telegram Channel With More Than One Million Subscribers.Stud Health Technol Inform. 2021 May 7;279:122-129. doi: 10.3233/SHTI210098. Stud Health Technol Inform. 2021. PMID: 33965928
-
Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning.J Med Internet Res. 2021 Nov 29;23(11):e30529. doi: 10.2196/30529. J Med Internet Res. 2021. PMID: 34662291 Free PMC article.
-
"Help Us!": a content analysis of COVID-19 help-seeking posts on Weibo during the first lockdown.BMC Public Health. 2023 Apr 19;23(1):710. doi: 10.1186/s12889-023-15578-y. BMC Public Health. 2023. PMID: 37076879 Free PMC article.
-
Public engagement in government officials' posts on social media during coronavirus lockdown.PLoS One. 2023 Jan 23;18(1):e0280889. doi: 10.1371/journal.pone.0280889. eCollection 2023. PLoS One. 2023. PMID: 36689430 Free PMC article.
-
The importance of the online storage of patient data in Indian COVID-19 scenario: A narrative review.Indian J Public Health. 2021 Oct-Dec;65(4):410-413. doi: 10.4103/ijph.ijph_1041_21. Indian J Public Health. 2021. PMID: 34975089 Review.
Cited by
-
Criminal clickbait: a panel data analysis on the attractiveness of online advertisements offering stolen data.Front Big Data. 2023 Dec 22;6:1320569. doi: 10.3389/fdata.2023.1320569. eCollection 2023. Front Big Data. 2023. PMID: 38188904 Free PMC article.
References
-
- Telegram Telegram Frequently Asked Questions (FAQ) [cited 2020 July 3] Available from: https://archive.is/eZjMW.
-
- Moyle L, Childs A, Coomber R, Barratt MJ. #Drugsforsale: an exploration of the use of social media and encrypted messaging apps to supply and access drugs. Int J Drug Policy. 2019 Jan;63:101–10. Epub 2018 Dec 7. - PubMed
-
- Brunt TM, Niesink RJ. The drug information and monitoring system (DIMS) in the Netherlands: implementation, results, and international comparison. Drug Test Anal. 2011 Sep;3((9)):621–34. Epub 2011 Sep. 6. - PubMed
-
- Smit-Rigter L, van der Gouwe D. The Drugs Information and Monitoring System (DIMS) Factsheet on drug checking in the Netherlands. Utrecht: Trimbos institute; 2019.
-
- Vrolijk R, van der Gouwe D. Drugs Information and Monitoring System (DIMS) Annual Report 2019. Utrecht: Trimbos institute; 2020.
MeSH terms
LinkOut - more resources
Full Text Sources
Medical