Evidence map›Paper›PMID 30462247›Full record

ArticleJournal of analytical toxicology2019

Detection of Fentanyl Analogs and Synthetic Opioids in Real Hair Samples.

Alberto Salomone, Joseph J Palamar, Rachele Bigiarini, Enrico Gerace, Daniele Di Corcia, Marco Vincenti

Open access · bronzeAbstract read
In one paragraph

Article in Journal of analytical toxicology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.6field-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

22 citing papers in PubMed, 59 citations in OpenAlex.

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  8. Toxicosurveillance of novel opioids: just screening tests may not be enough.The American journal of drug and alcohol abuse · 2021
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  17. Should NPS be included in workplace drug testing?Drug testing and analysis · 2020
    Article
  18. Interpol review of toxicology 2016-2019.Forensic science international. Synergy · 2020
    Review
  19. Article
  20. 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

6 authors at 2 institutions in 2 countries.

Alberto SalomoneCentro Regionale Antidoping e di Tossicologia "A. Bertinaria", Orbassano, Turin, Italy.
Joseph J PalamarDepartment of Population Health, New York University Langone Medical Center.
Rachele BigiariniDipartimento di Chimica, Università di Torino, Turin, Italy.
Enrico GeraceCentro Regionale Antidoping e di Tossicologia "A. Bertinaria", Orbassano, Turin, Italy.
Daniele Di CorciaCentro Regionale Antidoping e di Tossicologia "A. Bertinaria", Orbassano, Turin, Italy.
Marco VincentiCentro Regionale Antidoping e di Tossicologia "A. Bertinaria", Orbassano, Turin, Italy.
University of Turin · ITNew York University · US

Funding

Development of a Rapid Survey to Detect Use of New and Emerging DrugsK01DA038800 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI PALAMAR, JOSEPH J · 2015 to 2019
$879k
NIDA NIH HHS K01 DA038800
6 · The paper itself

Abstract

Novel synthetic opioids include various analogs of fentanyl and emerging non-fentanyl compounds with different chemical structures, such as AH-7921, MT-45 and U-47700. In recent years, these drugs have rapidly emerged on the drug market, and their abuse has been increasing worldwide. The motivations for use of these new compounds include their legal status, ready availability, low cost, users' curiosity or preference for their particular pharmacological properties and the intention to avoid detection. Furthermore, more common drugs like heroin are now increasingly being replaced or cut with fentanyl or new designer opioids; thus, many drug users are unintentionally or unknowingly using synthetic fentanyl analogs. In this scenario, the detection of new psychoactive substances in hair can provide insight into their current diffusion among the population and social characteristics of these synthetic drug users. In this manuscript, we describe a simple, fast, specific and sensitive UHPLC-MS-MS method able to detect 13 synthetic opioids (including fentanyl analogs) and metabolites in hair samples. Furthermore, the method includes the detection of 4-anilino-N-phenethyl-piperidine (4-ANPP), which is considered both a precursor and a metabolite of several fentanyl analogs. The method was applied to 34 real hair samples collected in New York City from subjects who had reported past-year non-medical opioid and/or heroin use. In total, 17 samples tested positive for at least one target analyte, with oxycodone (nine samples) and tramadol (eight samples) being the most common. Among these, the method was able to quantify furanyl-fentanyl and fentanyl in the pg/mg range in two samples. Simultaneously, also 4-ANPP was detected, giving evidence for the first time that this compound can be selected as a marker of fentanyl analogs use via hair testing. In conclusion, this study confirmed the increasing diffusion of new synthetic opioids and "fentalogs" with high potency among non-medical opioid users.

Indexed as

AdolescentAdultAnalgesics, OpioidBenzamidesBiomarkersChromatography, LiquidDesigner DrugsFentanylFuransHairHumansIllicit DrugsOxycodonePiperidinesSubstance Abuse DetectionTandem Mass SpectrometryAnalgesics, OpioidBenzamidesBiomarkersDesigner DrugsFentanylFuransfuranyl fentanylIllicit DrugsOxycodonepiperidinePiperidinesTramadolU-47700

Identifiers

PMID30462247
PMCPMC6460334
OpenAlexW2901564332

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.