Evidence map›Paper›PMID 38553721›Full record

ArticleBMC public health2024

Adulterants present in the San Diego county fentanyl supply: a laboratory analysis of seized law enforcement samples.

Henrik Galust, Justin A Seltzer, Jeremy R Hardin, Nathan A Friedman, Jeff Salamat, Richard F Clark, Jennifer Harmon

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
8.1field-weighted citation impact, top 2% of its field
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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Comprehensive method to detect nitazene analogues and xylazine in wastewater.Environmental science and pollution research international · 2025
    Article
  8. Article
  9. Article
  10. Article
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

7 authors at 3 institutions in 1 country.

Henrik GalustDivision of Medical Toxicology, Department of Emergency Medicine, UC San Diego Health, 200 W. Arbor Dr. #8676, 92103, San Diego, CA, USA. hegalust@health.ucsd.edu.
Justin A SeltzerDivision of Medical Toxicology, Department of Emergency Medicine, UC San Diego Health, 200 W. Arbor Dr. #8676, 92103, San Diego, CA, USA.
Jeremy R HardinDivision of Medical Toxicology, Department of Emergency Medicine, UC San Diego Health, 200 W. Arbor Dr. #8676, 92103, San Diego, CA, USA.
Nathan A FriedmanDivision of Medical Toxicology, Department of Emergency Medicine, UC San Diego Health, 200 W. Arbor Dr. #8676, 92103, San Diego, CA, USA.
Jeff SalamatSan Diego County Sheriff's Crime Laboratory. John F. Duffy Administrative Center, 9621. Ridgehaven Ct, 92123, San Diego, CA, USA.
Richard F ClarkDivision of Medical Toxicology, Department of Emergency Medicine, UC San Diego Health, 200 W. Arbor Dr. #8676, 92103, San Diego, CA, USA.
Jennifer HarmonSan Diego County Sheriff's Crime Laboratory. John F. Duffy Administrative Center, 9621. Ridgehaven Ct, 92123, San Diego, CA, USA.
UC San Diego Health System · USVA San Diego Healthcare System · USWashington Poison Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe opioid overdose crisis is one of the worst public health crises ever to face the US and emerging evidence suggests its effects are compounded by the presence of drug adulterants. Here we report our efforts to characterize the adulterants present within the local fentanyl supply of San Diego County, obtained from undifferentiated drug samples seized by local law enforcement over the calendar year 2021.

methodsThirty-two participating local law enforcement agencies across San Diego submitted 4838 unknown individual illicit drug samples (total of 312 kg) to the San Diego County Sheriff's Department Regional Crime Laboratory for identification.

resultsQualitative analysis of these samples via FTIR and GC-MS identified methamphetamine (38.7%), fentanyl (20.8%), diacetylmorphine (heroin) (10.2%), codeine (5.8%) and alprazolam (4.3%) as the most common illicit substances and the presence of 52 unique adulterants. The most common adulterants included 4-methylaminoantipyrine (4-MAAP) (10.9%), mannitol (9%), acetaminophen (8.5%), methamphetamine (4.2%), diacetylmorphine (heroin) (3.6%), tramadol (1.9%), and xylazine (1.7%). Several additional pharmacologically active adulterants and contaminants of interest were also identified.

conclusionThis analysis is vital for public health use and harm reduction efforts at the level of the individual consumer. Continued direct surveillance of the drug supply is necessary for the detection of potentially harmful adulterants that may pose serious threats to the public.

Indexed as

Drug OverdoseIllicit DrugsMethamphetamineAnalgesics, OpioidDrug ContaminationFentanylHeroinHumansLaw EnforcementAnalgesics, OpioidFentanylHeroinIllicit DrugsMethamphetamineAdulterantContaminantDrug abuseFentanylForensic toxicologyOpioidPharmacosurveillancePharmacovigilanceToxicologyXylazine

Identifiers

PMID38553721
PMCPMC10981322
OpenAlexW4393308041

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.