Evidence map›Paper›PMID 37515395›Full record

ArticleJournal of forensic sciences2023

Detection of fentanyl, synthetic opioids, and ketamine in hair specimens from purposive samples of American and Italian populations.

Alberto Salomone, Martina Galletto, Marta Massano, Daniele Di Corcia, Joseph J Palamar, Marco Vincenti

Open access · hybridAbstract read
In one paragraph

Article in Journal of forensic sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

6 authors at 3 institutions in 2 countries.

Alberto SalomoneDepartment of Chemistry, University of Turin, Turin, Italy.ORCID https://orcid.org/0000-0002-8501-4799
Martina GallettoDepartment of Chemistry, University of Turin, Turin, Italy.
Marta MassanoDepartment of Chemistry, University of Turin, Turin, Italy.
Daniele Di CorciaCentro Regionale Antidoping, Orbassano (TO), Italy.
Joseph J PalamarDepartment of Population Health, New York University Grossman School of Medicine, New York, New York, USA.
Marco VincentiDepartment of Chemistry, University of Turin, Turin, Italy.
Agenzia Regionale per la Protezione Ambientale del Piemonte · ITUniversity of Turin · ITNew York University · US

Funding

National Drug Early Warning System (NDEWS) COVID-19 SupplementU01DA051126 · NIDA · UNIVERSITY OF FLORIDA · PI Linda B. Cottler, Joseph J Palamar · 2020 to 2026
$6.3M
Drug use among nightclub and dance festival attendees in New York CityR01DA044207 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI PALAMAR, JOSEPH J · 2018 to 2021
$1.5M
NIDA NIH HHS R01 DA044207NIDA NIH HHS U01 DA051126NIH HHS R01DA044207NIH HHS U01DA051126
6 · The paper itself

Abstract

With the current crisis related to the diffusion of fentanyl and other novel opioids in several countries and populations, new and effective approaches are needed to better elucidate the phenomenon. In this context, hair testing offers a unique perspective in the investigation of drug consumption, producing useful information in terms of exposure to psychoactive substances. In this research, we applied targeted ultra-high performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) analytical methods to detect novel synthetic and prescription opioids and other common controlled psychoactive drugs in the keratin matrix. A total of 120 hair samples were analyzed from the United States (US) and Italy, segmented when longer than 6 cm, and then analyzed. In the 60 samples (83 segments in total) analyzed from a purposive sample of data collected in the US, fentanyl was detected in 14 cases (16.9%), with no detection of nitazens or brorphine. We also detected fentanyl metabolites, despropionyl-p-fluorofentanyl, and prescription opioids. In the 60 samples collected in Italy (91 segments in total), ketamine was the most prevalent compound detected (in 41 cases; 45.1%), with ketamine demonstrating a strong correlation with detection of amphetamines and MDMA, likely due to co-use of these substances in recreational contexts. Several common drugs were also detected but no exposure to fentanyl or its analogs were detected. Results of this retrospective exploration of drug use add to increasing evidence that hair testing can serve as a useful adjunct to epidemiology studies that seek to determine biologically confirmed use and exposure in high-risk populations.

Indexed as

Analgesics, OpioidKetamineFentanylHairRetrospective StudiesSubstance Abuse DetectionTandem Mass SpectrometryUnited StatesAnalgesics, OpioidFentanylKetaminefentanylhair analysisketamineMDMAnew psychoactive substancessynthetic opioids

Identifiers

PMID37515395
PMCPMC10529932
OpenAlexW4385377553

What OpenQuestion holds

Textmetadata
LicenceTDM
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.