Suppr超能文献

巴尔的摩市(马里兰州)2017-2019 年阿片类药物使用者过量用药经历和预防行为趋势。

Trends in overdose experiences and prevention behaviors among people who use opioids in Baltimore, MD, 2017-2019.

机构信息

Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA.

Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA; School of Public Health, National University of Kyiv-Mohyla Academy, Voloska St, 10, Kyiv, 02000, Ukraine.

出版信息

Drug Alcohol Depend. 2021 Apr 1;221:108650. doi: 10.1016/j.drugalcdep.2021.108650. Epub 2021 Feb 22.

Abstract

BACKGROUND

Little is known about trends in overdose behaviors. This study explored non-fatal overdose and engagement in overdose prevention behaviors and compared these trends to city-wide overdose fatality rates from 2017 to 2019 in Baltimore, MD.

METHODS

The analysis included people who used opioids (PWUO; N = 502) recruited through a community-based study. Enrollment date was used to categorize participants into annual quarters. Logistic regression models examined change in overdose experiences and prevention behaviors with time. Baltimore's fatal overdoses were also mapped over the study period to assess overlaps in trends.

RESULTS

The majority of the sample were male(68 %), Black(61 %), reported past 6 months homelessness(56 %), and were on average 45 years old. Most had witnessed(61 %), and 28 % had personally experienced an overdose in the past 6 months. Witnessing overdose marginally increased(aβ = 0.182;p = 0.058) while experiencing overdose did not significantly change by enrollment quarter. Most participants had or had been prescribed naloxone(72 %), and one fifth(22 %) regularly carried naloxone, with both access to(aβ = 0,408;p = 0.002) and carrying naloxone(aβ = 0.302;p = 0.006) increasing over time. Overdose communication remained stable, with 63 % of participants reporting discussing overdose sometimes/often. Among participants who injected (n = 376), regularly injecting alone decreased(aβ=-0.207;p = 0.055), and reporting others often/always having naloxone with them when injecting increased over time(aβ = 0.573;p < 0.001).

CONCLUSIONS

Witnessed overdose marginally increased from 2017 to 2019, aligning with city trends of fatal overdose. Overdose prevention behaviors significantly increased over time. Despite reporting having naloxone or a naloxone prescription, most PWUO did not regularly carry naloxone, and many used alone. Social network diffusion interventions may be a strategy to promote normative overdose prevention behaviors.

摘要

背景

对于过量用药行为的趋势,我们知之甚少。本研究探讨了非致命性过量用药行为,并参与了过量预防行为,并将这些趋势与马里兰州巴尔的摩市 2017 年至 2019 年的全市过量用药死亡率进行了比较。

方法

该分析包括通过社区研究招募的阿片类药物使用者(PWUO;N=502)。入组日期用于将参与者分为年度季度。逻辑回归模型考察了随着时间的推移,过量用药经历和预防行为的变化。巴尔的摩的致命过量用药也在研究期间进行了映射,以评估趋势的重叠。

结果

样本的大多数人是男性(68%)、黑人(61%)、过去 6 个月无家可归(56%),平均年龄为 45 岁。大多数人曾目睹(61%),28%的人在过去 6 个月中曾经历过过量用药。目睹过量用药略有增加(β=0.182,p=0.058),而过去 6 个月内经历过量用药的情况并未随着入组季度的变化而显著改变。大多数参与者已经或已经开过纳洛酮(72%),五分之一(22%)定期携带纳洛酮,获得纳洛酮(β=0.408,p=0.002)和携带纳洛酮(β=0.302,p=0.006)随着时间的推移而增加。过量用药沟通保持稳定,63%的参与者报告有时/经常讨论过量用药。在注射药物的参与者中(n=376),经常单独注射的人数减少(β=-0.207,p=0.055),同时报告注射时经常/总是有人带着纳洛酮的人数增加(β=0.573,p<0.001)。

结论

从 2017 年到 2019 年,目睹的过量用药略有增加,与城市致命过量用药趋势一致。随着时间的推移,过量用药预防行为显著增加。尽管报告有纳洛酮或纳洛酮处方,但大多数 PWUO 并不定期携带纳洛酮,而且许多人单独使用。社会网络扩散干预可能是促进规范过量用药预防行为的一种策略。

相似文献

1
Trends in overdose experiences and prevention behaviors among people who use opioids in Baltimore, MD, 2017-2019.
Drug Alcohol Depend. 2021 Apr 1;221:108650. doi: 10.1016/j.drugalcdep.2021.108650. Epub 2021 Feb 22.
3
More than just availability: Who has access and who administers take-home naloxone in Baltimore, MD.
PLoS One. 2019 Nov 7;14(11):e0224686. doi: 10.1371/journal.pone.0224686. eCollection 2019.
7
Patterns of polysubstance use and overdose among people who inject drugs in Baltimore, Maryland: A latent class analysis.
Drug Alcohol Depend. 2019 Aug 1;201:71-77. doi: 10.1016/j.drugalcdep.2019.03.026. Epub 2019 Jun 6.
8
Is systematic training in opioid overdose prevention effective?
PLoS One. 2017 Oct 31;12(10):e0186833. doi: 10.1371/journal.pone.0186833. eCollection 2017.
10
"They're not doing enough.": women's experiences with opioids and naloxone in Toronto.
Subst Abuse Treat Prev Policy. 2021 Mar 20;16(1):26. doi: 10.1186/s13011-021-00360-3.

引用本文的文献

2
Multinational appraisal of the epidemiological distribution of opioid fatalities: a systematic review and meta-analysis.
Front Psychiatry. 2024 Jan 5;14:1290461. doi: 10.3389/fpsyt.2023.1290461. eCollection 2023.
3
Understanding healthcare engagement for people who inject drugs.
Res Nurs Health. 2024 Apr;47(2):242-250. doi: 10.1002/nur.22355. Epub 2023 Nov 19.
4
Individual and social network correlates of responding to multiple overdoses among a cohort of people who use drugs.
Drug Alcohol Depend Rep. 2022 Dec;5. doi: 10.1016/j.dadr.2022.100107. Epub 2022 Oct 7.

本文引用的文献

2
More than just availability: Who has access and who administers take-home naloxone in Baltimore, MD.
PLoS One. 2019 Nov 7;14(11):e0224686. doi: 10.1371/journal.pone.0224686. eCollection 2019.
3
The prevalence of non-fatal overdose among people who inject drugs: A multi-stage systematic review and meta-analysis.
Int J Drug Policy. 2019 Nov;73:172-184. doi: 10.1016/j.drugpo.2019.07.030. Epub 2019 Jul 24.
5
Changing risk and presentation of overdose associated with consumption of street drugs at a supervised injection site in Vancouver, Canada.
Drug Alcohol Depend. 2019 Mar 1;196:46-50. doi: 10.1016/j.drugalcdep.2018.12.016. Epub 2019 Jan 15.
6
Use of rapid fentanyl test strips among young adults who use drugs.
Int J Drug Policy. 2018 Nov;61:52-58. doi: 10.1016/j.drugpo.2018.09.009. Epub 2018 Oct 18.
9
Opioid Crisis: No Easy Fix to Its Social and Economic Determinants.
Am J Public Health. 2018 Feb;108(2):182-186. doi: 10.2105/AJPH.2017.304187. Epub 2017 Dec 21.
10
Fentanyl in the US heroin supply: A rapidly changing risk environment.
Int J Drug Policy. 2017 Aug;46:107-111. doi: 10.1016/j.drugpo.2017.06.010. Epub 2017 Jul 20.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验