Evidence map›Paper›PMID 41609931›Full record

ArticleJournal of general internal medicine2026

Prescription Depressant-Involved Overdose Mortality in Massachusetts (2000-2023): A Cohort Study.

Hannah Lee, Huiru Dong, Mohammad S Jalali, Erin J Stringfellow

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2026. 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

4 authors.

Hannah LeeMGH Institute for Technology Assessment, Harvard Medical School, Boston, MA, 02114, USA.ORCID http://orcid.org/0009-0006-8803-0694
Huiru DongMGH Institute for Technology Assessment, Harvard Medical School, Boston, MA, 02114, USA.ORCID http://orcid.org/0009-0004-3556-1075
Mohammad S JalaliMGH Institute for Technology Assessment, Harvard Medical School, Boston, MA, 02114, USA.ORCID http://orcid.org/0000-0001-6769-2732
Erin J StringfellowMGH Institute for Technology Assessment, Harvard Medical School, Boston, MA, 02114, USA. estringfellow@mgh.harvard.edu.ORCID http://orcid.org/0000-0002-2286-1448

Funding

CDC HHS R01CE003358CIHR Fellowship awardNCIPC CDC HHS R01 CE003358
6 · The paper itself

Abstract

backgroundPrescription depressants, particularly benzodiazepines, gabapentinoids, and Z-drugs, pose overdose risk. Understanding their prevalence in overdose fatalities and co-involved substances is critical.

objectiveTo identify latent substance classes in prescription depressant-involved overdose deaths.

designRetrospective cohort study

participantsAll individuals whose fatal overdoses involved prescription depressants from 2000-2023 in Massachusetts, US (n = 8,665). MAIN MEASURES: Data were obtained from the Massachusetts Registry of Vital Records and Statistics. Substances were identified using ICD-10 codes. Literal text entries were available from 2015-2023. We conducted a latent class analysis to derive substance classes and a multinomial logistic regression to examine associated factors. We assessed the proportion of deaths these classes comprised over time. KEY

resultsFive latent classes emerged and were characterized based on the substances with highest conditional probabilities within and across classes: 1) antidepressants (21.2%); 2) fentanyl, cocaine, and benzodiazepines (34.4%); 3) antidepressants and antipsychotics (8.2%); 4) prescription opioids and benzodiazepines (19.5%); and 5) fentanyl and gabapentin or xylazine (16.7%). Over time, fentanyl-related classes came to dominate earlier prescription-only classes; deaths in Class 1 declined by 86.5%, while those in Class 5 rose from 9.6% to 45.1%. Compared to Class 2, all other classes were older, more likely female, married, educated, from rural areas, and overdosed at home. Classes 1, 3, and 5 were more likely non-White.

conclusionsThousands of Massachusetts overdose deaths have involved prescribed medications, suggesting missed opportunities for intervention. Over time, the demographic patterns of deaths involving antidepressants, antipsychotics, benzodiazepines, and prescription opioids persisted, reflecting longstanding trends in polypharmacy among older women and racial disparities in prescribing. Prescription monitoring, deprescribing, screening for illicit drug use, and discussion of diversion risks are all needed. Findings underscore the need for clinical and policy interventions to reduce overdose risks among women, older individuals, and racial minorities.

Indexed as

OverdosePolypharmacyPolysubstance usePrescription drugsSubstance use

Identifiers

PMID41609931
PMCPMC13679990

What OpenQuestion holds

Textmetadata
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.