The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Signal of increased opioid overdose during COVID-19 from emergency medical services data
Open accessAbstract
Abstract Background Individuals with opioid use disorder may be at heightened risk of opioid overdose during the COVID-19 period of social isolation, economic distress, and disrupted treatment services delivery. This study evaluated changes in daily number of Kentucky emergency medical services (EMS) runs for opioid overdose between January 14, 2020 and April 26, 2020. Methods We evaluated the statistical significance of the changes in the average daily EMS opioid overdose runs in the 52 days before and after the COVID-19 state of emergency declaration, March 6, 2020. Results Kentucky EMS opioid overdose daily runs increased after the COVID-19 state emergency declaration. In contrast, EMS daily runs for other conditions leveled or declined. There was a 17% increase in the number of EMS opioid overdose runs with transportation to an emergency department (ED), a 71% increase in runs with refused transportation, and a 50% increase in runs for suspected opioid overdoses with deaths at the scene. The average daily EMS opioid overdose runs with refused transportation increased significantly, doubled to an average of 8 opioid overdose patients refusing transportation every day during the COVID-19-related study period. Conclusions This Kentucky-specific study provides empirical evidence for concerns that opioid overdoses are rising during the COVID-19 pandemic and calls for sharing of observations and analyses from different regions and surveillance systems with timely data collection (e.g., EMS data, syndromic surveillance data for ED visits) to improve our understanding of the situation, inform proactive response, and prevent another big wave of opioid overdoses in our communities.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Segmented regression analysis of interrupted time series studies in medication use research
Wagner, A. K., Soumerai, S. B., Zhang, F., & Ross-Degnan, D. (2002) · Journal of Clinical Pharmacy and Therapeutics · doi:10.1046/j.1365-2710.2002.00430.x · Cited by 3,279
Interrupted time series regression for the evaluation of public health interventions: a tutorial
Lopez Bernal, J., Cummins, S., & Gasparrini, A. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw098 · Cited by 3,049
Meta‐analysis of drug‐related deaths soon after release from prison
Merrall, E. L. C., Kariminia, A., Binswanger, I. A., Hobbs, M. S., Farrell, M., Marsden, J., Hutchinson, S. J., & Bird, S. M. (2010) · Addiction · doi:10.1111/j.1360-0443.2010.02990.x · Cited by 674
An Epidemic in the Midst of a Pandemic: Opioid Use Disorder and COVID-19
Alexander, G. C., Stoller, K. B., Haffajee, R. L., & Saloner, B. (2020) · Annals of Internal Medicine · doi:10.7326/m20-1141 · Cited by 377
Acute risk of drug‐related death among newly released prisoners in England and Wales
Farrell, M., & Marsden, J. (2008) · Addiction · doi:10.1111/j.1360-0443.2007.02081.x · Cited by 299
When Epidemics Collide: Coronavirus Disease 2019 (COVID-19) and the Opioid Crisis
Becker, W. C., & Fiellin, D. A. (2020) · Annals of Internal Medicine · doi:10.7326/m20-1210 · Cited by 221
An overdose surge will compound the COVID-19 pandemic if urgent action is not taken
Wakeman, S. E., Green, T. C., & Rich, J. D. (2020) · Nature Medicine · doi:10.1038/s41591-020-0898-0 · Cited by 126
Slavova, S. S., Costich, J. F., Luu, H., Fields, J. S., Gabella, B., Tarima, S. S., & Bunn, T. L. (2018) · Injury Epidemiology · doi:10.1186/s40621-018-0165-8 · Cited by 66
Self-citationAbuse-Deterrent Opioid Formulations — Putting the Potential Benefits into Perspective
Becker, W. C., & Fiellin, D. A. (2017) · New England Journal of Medicine · doi:10.1056/nejmp1701553 · Cited by 47
Identification and Description of Non-Fatal Opioid Overdoses using Rhode Island EMS Data, 2016-2018.
Lasher, L., Rhodes, J., & Viner-Brown, S. I. (2019) · PubMed · Cited by 27
Cited by
Non-pharmaceutical interventions during the COVID-19 pandemic: A review
Perra, N. (2021) · Physics Reports · doi:10.1016/j.physrep.2021.02.001 · Cited by 531
Alcohol and other substance use during the COVID-19 pandemic: A systematic review
Roberts, A., Rogers, J., Mason, R., Siriwardena, A. N., Hogue, T., Whitley, G. A., & Law, G. R. (2021) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2021.109150 · Cited by 426
Mariani, R., Renzi, A., Di Trani, M., Trabucchi, G., Danskin, K., & Tambelli, R. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.587724 · Cited by 199
Imtiaz, S., Nafeh, F., Russell, C., Ali, F., Elton-Marshall, T., & Rehm, J. (2021) · Substance Abuse Treatment, Prevention, and Policy · doi:10.1186/s13011-021-00423-5 · Cited by 101
The opioid overdose crisis as a global health challenge
Krausz, R. M., Westenberg, J. N., & Ziafat, K. (2021) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000712 · Cited by 91
Metadata
- Authors
- Slavova, S., Rock, P., Bush, H. M., Quesinberry, D., & Walsh, S. L.
- Venue
- Drug and Alcohol Dependence
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 214
- Pages
- 108176
- ISSN
- 0376-8716 (ISSN-L)
- OpenAlex
- W3040801838
- Cited by
- 401
- References
- 10
- FWCI
- 57.65
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Signal of increased opioid overdose during COVID-19 from emergency medical services data. https://app.cochat.ai/papers/10.1016/j.drugalcdep.2020.108176
- The paper
- Slavova, S., Rock, P., Bush, H. M., Quesinberry, D., & Walsh, S. L. (2020). Signal of increased opioid overdose during COVID-19 from emergency medical services data. Drug and Alcohol Dependence. https://doi.org/10.1016/j.drugalcdep.2020.108176
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.