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Observational Study
. 2022 Mar 5;17(1):16.
doi: 10.1186/s13011-022-00442-w.

Concerns among people who use opioids during the COVID-19 pandemic: a natural language processing analysis of social media posts

Affiliations
Observational Study

Concerns among people who use opioids during the COVID-19 pandemic: a natural language processing analysis of social media posts

Abeed Sarker et al. Subst Abuse Treat Prev Policy. .

Abstract

Background: Timely data from official sources regarding the impact of the COVID-19 pandemic on people who use prescription and illegal opioids is lacking. We conducted a large-scale, natural language processing (NLP) analysis of conversations on opioid-related drug forums to better understand concerns among people who use opioids.

Methods: In this retrospective observational study, we analyzed posts from 14 opioid-related forums on the social network Reddit. We applied NLP to identify frequently mentioned substances and phrases, and grouped the phrases manually based on their contents into three broad key themes: (i) prescription and/or illegal opioid use; (ii) substance use disorder treatment access and care; and (iii) withdrawal. Phrases that were unmappable to any particular theme were discarded. We computed the frequencies of substance and theme mentions, and quantified their volumes over time. We compared changes in post volumes by key themes and substances between pre-COVID-19 (1/1/2019-2/29/2020) and COVID-19 (3/1/2020-11/30/2020) periods.

Results: Seventy-seven thousand six hundred fifty-two and 119,168 posts were collected for the pre-COVID-19 and COVID-19 periods, respectively. By theme, posts about treatment and access to care increased by 300%, from 0.631 to 2.526 per 1000 posts between the pre-COVID-19 and COVID-19 periods. Conversations about withdrawal increased by 812% between the same periods (0.026 to 0.235 per 1,000 posts). Posts about drug use did not increase (0.219 to 0.218 per 1,000 posts). By substance, among medications for opioid use disorder, methadone had the largest increase in conversations (20.751 to 56.313 per 1,000 posts; 171.4% increase). Among other medications, posts about diphenhydramine exhibited the largest increase (0.341 to 0.927 per 1,000 posts; 171.8% increase).

Conclusions: Conversations on opioid-related forums among people who use opioids revealed increased concerns about treatment and access to care along with withdrawal following the emergence of COVID-19. Greater attention to social media data may help inform timely responses to the needs of people who use opioids during COVID-19.

Keywords: COVID-19 (MeSH ID: D000086382); Coronavirus (MeSH ID: D017934); Natural language processing (MeSH ID: D009323); Opioid use disorder (MeSH ID: D009293); Opioids (MeSH ID: D000701); Social media (MeSH ID: D061108); Text mining (MeSH ID: D057225).

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Month-to-month relative frequencies for expressions belonging to the themes (i) drug use, (ii) treatment and access, and (iii) withdrawal. Relative frequencies for the term 'covid' are provided for comparison

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