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Concerns among people who use opioids during the COVID-19 pandemic: a natural language processing analysis of social media posts
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 concer...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8897722/ https://www.ncbi.nlm.nih.gov/pubmed/35248103 http://dx.doi.org/10.1186/s13011-022-00442-w |
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author | Sarker, Abeed Nataraj, Nisha Siu, Wesley Li, Sabrina Jones, Christopher M. Sumner, Steven A. |
author_facet | Sarker, Abeed Nataraj, Nisha Siu, Wesley Li, Sabrina Jones, Christopher M. Sumner, Steven A. |
author_sort | Sarker, Abeed |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13011-022-00442-w. |
format | Online Article Text |
id | pubmed-8897722 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88977222022-03-07 Concerns among people who use opioids during the COVID-19 pandemic: a natural language processing analysis of social media posts Sarker, Abeed Nataraj, Nisha Siu, Wesley Li, Sabrina Jones, Christopher M. Sumner, Steven A. Subst Abuse Treat Prev Policy Brief Report 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13011-022-00442-w. BioMed Central 2022-03-05 /pmc/articles/PMC8897722/ /pubmed/35248103 http://dx.doi.org/10.1186/s13011-022-00442-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Brief Report Sarker, Abeed Nataraj, Nisha Siu, Wesley Li, Sabrina Jones, Christopher M. Sumner, Steven A. Concerns among people who use opioids during the COVID-19 pandemic: a natural language processing analysis of social media posts |
title | Concerns among people who use opioids during the COVID-19 pandemic: a natural language processing analysis of social media posts |
title_full | Concerns among people who use opioids during the COVID-19 pandemic: a natural language processing analysis of social media posts |
title_fullStr | Concerns among people who use opioids during the COVID-19 pandemic: a natural language processing analysis of social media posts |
title_full_unstemmed | Concerns among people who use opioids during the COVID-19 pandemic: a natural language processing analysis of social media posts |
title_short | Concerns among people who use opioids during the COVID-19 pandemic: a natural language processing analysis of social media posts |
title_sort | concerns among people who use opioids during the covid-19 pandemic: a natural language processing analysis of social media posts |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8897722/ https://www.ncbi.nlm.nih.gov/pubmed/35248103 http://dx.doi.org/10.1186/s13011-022-00442-w |
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