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The United States is in the midst of an epidemic of opioid-related overdose deaths. In response, harm reduction programs commonly distribute the opioid antagonist naloxone directly to PWUD so that they can act as first responders when an overdose occurs. Naloxone reverses respiratory depression and can save the life of a person overdosing on opioids. Little research has been conducted about the lived experiences of PWUD who use naloxone, particularly their motivations for carrying it, their experiences serving as first responders to overdoses, and how new communities of care have sprung up around the widespread use of naloxone. To better understand the lived experiences of PWUD, semi-structured interviews were conducted with seventeen syringe exchange participants who currently carry and/or have administered naloxone. In interviews, participants describe taking on the role of peer naloxone administrator as empowering, partially because it contrasts with the powerlessness they recounted in other areas of their lives. Peer administrators also use naloxone in a way that reinforces overdose care among people who use drugs. Future programs distributing naloxone to PWUD should be aware of its potential not only to save lives, but to increase participants’ self-confidence and strengthen the network of overdose care in their communities.
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Exploring county-level spatio-temporal patterns in opioid overdose related emergency department visits
Opioid overdoses within the United States continue to rise and have been negatively impacting the social and economic status of the country. In order to effectively allocate resources and identify policy solutions to reduce the number of overdoses, it is important to understand the geographical differences in opioid overdose rates and their causes. In this study, we utilized data on emergency department opioid overdose (EDOOD) visits to explore the county-level spatio-temporal distribution of opioid overdose rates within the state of Virginia and their association with aggregate socio-ecological factors. The analyses were performed using a combination of techniques including Moran’s I and multilevel modeling. Using data from 2016–2021, we found that Virginia counties had notable differences in their EDOOD visit rates with significant neighborhood-level associations: many counties in the southwestern region were consistently identified as the hotspots (areas with a higher concentration of EDOOD visits) whereas many counties in the northern region were consistently identified as the coldspots (areas with a lower concentration of EDOOD visits). In most Virginia counties, EDOOD visit rates declined from 2017 to 2018. In more recent years (since 2019), the visit rates showed an increasing trend. The multilevel modeling revealed that the change in clinical care factors (i.e., access to care and quality of care) and socio-economic factors (i.e., levels of education, employment, income, family and social support, and community safety) were significantly associated with the change in the EDOOD visit rates. The findings from this study have the potential to assist policymakers in proper resource planning thereby improving health outcomes.
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- PAR ID:
- 10392084
- Editor(s):
- Chen, Zhuo
- Date Published:
- Journal Name:
- PLOS ONE
- Volume:
- 17
- Issue:
- 12
- ISSN:
- 1932-6203
- Page Range / eLocation ID:
- e0269509
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1371/journal.pone.0269509
