Evidence map›Paper›PMID 40661257›Full record

ArticleBMJ public health2025

Drug involvement variations in overdose death spikes: county-level analysis in Massachusetts.

Daniel Otero-Leon, Hannah Lee, Huiru Dong, Erin Stringfellow, Mohammad S Jalali

Abstract read
In one paragraph

Article in BMJ public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Daniel Otero-LeonHarvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-2404-1635
Hannah LeeHarvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0009-0006-8803-0694
Huiru DongHarvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0009-0004-3556-1075
Erin StringfellowHarvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-2286-1448
Mohammad S JalaliHarvard Medical School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-6769-2732

Funding

NCIPC CDC HHS R01 CE003358
6 · The paper itself

Abstract

Background: Communities often experience relatively quiet periods disrupted by sudden surges of drug overdoses, suggesting that the risk of death can change substantially in a short period. Multiple substances are often involved in overdoses, and it is crucial to understand which are more frequently observed in spikes. This study aimed to investigate the involvement of specific substances in overdose spikes at the state and county levels in Massachusetts. Methods: We applied a spike detection method to identify daily spikes among 9915 overdose fatalities in Massachusetts from 2020 to 2023. A day was identified as a spike if the number of overdose deaths was over two SDs of the adjusted moving average with a lag of 30 days. We used a general linear mixed model to compare the presence of cocaine, psychostimulants, fentanyl, heroin and prescription opioids in overdose deaths between spike and typical days. Finally, we analysed and compared the results for 8 of the 14 counties in Massachusetts with the highest maximum overdose deaths per day. Results: At the state level from 2020 to 2023, no substances showed significant differences in spike and typical days. Cocaine was more prevalent in multiple counties during spikes. Fentanyl-involved overdose deaths were common on typical days in two counties. Psychostimulants were more prevalent on spike and typical days depending on the county. Heroin and prescription opioids only showed differences in one county each. Conclusion: Our analysis shows high heterogeneity of involved substances in overdose death spikes across counties in Massachusetts. This heterogeneity reinforces the need for localised response strategies. This understanding can guide more targeted local resource allocation and inform strategies to improve public health practices, ultimately aiming to reduce the impact of future overdose spikes.

Indexed as

EpidemiologyPopulation SurveillancePublic Health

Identifiers

PMID40661257
PMCPMC12258275

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.