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Is expected substance type associated with timing of drug checking service utilization?: A cross-sectional study
BACKGROUND: Drug checking is a harm reduction intervention aiming to reduce substance use-related risks by improving drug user knowledge of the composition of unregulated drugs. With increasing fears of fentanyl adulteration in unregulated drugs, this study sought to examine whether the expected typ...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8237439/ https://www.ncbi.nlm.nih.gov/pubmed/34176497 http://dx.doi.org/10.1186/s12954-021-00514-3 |
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author | Beaulieu, Tara Wood, Evan Tobias, Samuel Lysyshyn, Mark Patel, Priya Matthews, Jennifer Ti, Lianping |
author_facet | Beaulieu, Tara Wood, Evan Tobias, Samuel Lysyshyn, Mark Patel, Priya Matthews, Jennifer Ti, Lianping |
author_sort | Beaulieu, Tara |
collection | PubMed |
description | BACKGROUND: Drug checking is a harm reduction intervention aiming to reduce substance use-related risks by improving drug user knowledge of the composition of unregulated drugs. With increasing fears of fentanyl adulteration in unregulated drugs, this study sought to examine whether the expected type of drug checked (stimulant vs. opioid) was associated with timing of drug checking service utilization (pre-consumption vs. post-consumption). METHODS: Data were derived from drug checking sites in British Columbia between October 31, 2017 and December 31, 2019. Pearson’s Chi-square test was used to examine the relationship between expected sample type (stimulant vs. opioid) and timing of service utilization. Odds ratios (OR) were calculated to assess the strength of this relationship. The Mantel–Haenszel (MH) test was used to adjust for service location. RESULTS: A total of 3561 unique stimulant and opioid samples were eligible for inclusion, including 691 (19.40%) stimulant samples; and 2222 (62.40%) samples that were tested pre-consumption. Results indicated a positive association between testing stimulant samples and testing pre-consumption (OR = 1.45; 95% CI 1.21–1.73). Regions outside of the epicenter of the province’s drug scene showed a stronger association with testing pre-consumption (OR(MH) = 2.33; 95% CI 1.51–3.56) than inside the epicenter (OR(MH) = 1.33; 95% CI 1.09–1.63). CONCLUSION: Stimulant samples were more likely to be checked pre-consumption as compared with opioid samples, and stimulant samples were more likely to be tested pre-consumption in regions outside the epicenter of the province’s drug scene. This pattern may reflect a concern for fentanyl-adulterated stimulant drugs. |
format | Online Article Text |
id | pubmed-8237439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82374392021-06-29 Is expected substance type associated with timing of drug checking service utilization?: A cross-sectional study Beaulieu, Tara Wood, Evan Tobias, Samuel Lysyshyn, Mark Patel, Priya Matthews, Jennifer Ti, Lianping Harm Reduct J Brief Report BACKGROUND: Drug checking is a harm reduction intervention aiming to reduce substance use-related risks by improving drug user knowledge of the composition of unregulated drugs. With increasing fears of fentanyl adulteration in unregulated drugs, this study sought to examine whether the expected type of drug checked (stimulant vs. opioid) was associated with timing of drug checking service utilization (pre-consumption vs. post-consumption). METHODS: Data were derived from drug checking sites in British Columbia between October 31, 2017 and December 31, 2019. Pearson’s Chi-square test was used to examine the relationship between expected sample type (stimulant vs. opioid) and timing of service utilization. Odds ratios (OR) were calculated to assess the strength of this relationship. The Mantel–Haenszel (MH) test was used to adjust for service location. RESULTS: A total of 3561 unique stimulant and opioid samples were eligible for inclusion, including 691 (19.40%) stimulant samples; and 2222 (62.40%) samples that were tested pre-consumption. Results indicated a positive association between testing stimulant samples and testing pre-consumption (OR = 1.45; 95% CI 1.21–1.73). Regions outside of the epicenter of the province’s drug scene showed a stronger association with testing pre-consumption (OR(MH) = 2.33; 95% CI 1.51–3.56) than inside the epicenter (OR(MH) = 1.33; 95% CI 1.09–1.63). CONCLUSION: Stimulant samples were more likely to be checked pre-consumption as compared with opioid samples, and stimulant samples were more likely to be tested pre-consumption in regions outside the epicenter of the province’s drug scene. This pattern may reflect a concern for fentanyl-adulterated stimulant drugs. BioMed Central 2021-06-27 /pmc/articles/PMC8237439/ /pubmed/34176497 http://dx.doi.org/10.1186/s12954-021-00514-3 Text en © The Author(s) 2021 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 Beaulieu, Tara Wood, Evan Tobias, Samuel Lysyshyn, Mark Patel, Priya Matthews, Jennifer Ti, Lianping Is expected substance type associated with timing of drug checking service utilization?: A cross-sectional study |
title | Is expected substance type associated with timing of drug checking service utilization?: A cross-sectional study |
title_full | Is expected substance type associated with timing of drug checking service utilization?: A cross-sectional study |
title_fullStr | Is expected substance type associated with timing of drug checking service utilization?: A cross-sectional study |
title_full_unstemmed | Is expected substance type associated with timing of drug checking service utilization?: A cross-sectional study |
title_short | Is expected substance type associated with timing of drug checking service utilization?: A cross-sectional study |
title_sort | is expected substance type associated with timing of drug checking service utilization?: a cross-sectional study |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8237439/ https://www.ncbi.nlm.nih.gov/pubmed/34176497 http://dx.doi.org/10.1186/s12954-021-00514-3 |
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