Predicting heroin potency from the analysis of paraphernalia: A tool for overdose prevention projects.

Cigarette filter Heroin potency Paraphernalia Predictive model Rapid alert system

Journal

Forensic science international
ISSN: 1872-6283
Titre abrégé: Forensic Sci Int
Pays: Ireland
ID NLM: 7902034

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 20 04 2023
revised: 02 09 2023
accepted: 18 09 2023
medline: 30 10 2023
pubmed: 9 10 2023
entrez: 8 10 2023
Statut: ppublish

Résumé

In recent years, fatal and non-fatal heroin-related overdoses have increased in northeastern Italy, and the change in potency of heroin available at street level has been identified as a prominent factor associated with acute toxicity. Two very different products, high-potency and low-potency heroin were becoming available on the street, and no clear morphological characteristics could be used to easily distinguish them. A theoretical model for predicting heroin potency from rapid analysis of cigarette filters was developed as part of an overdose prevention project. The model was derived from the analysis of real heroin samples and exploits the common presence of caffeine in heroin as an adulterant. It was tested on laboratory prepared filters, real filters used to prepare heroin injections, and other paraphernalia. The model showed strong predictive ability and was used to implement a rapid alert system to inform drug users and healthcare institutions about the potency of heroin or other psychoactive substances circulating in the area. Cigarette filters were used as standard material, but other paraphernalia were successfully tested. The developed model is a dynamic tool whose parameters can be updated according to the market characteristics, so it can be useful for laboratories involved in drug analysis and similar prevention programs.

Identifiants

pubmed: 37806165
pii: S0379-0738(23)00284-0
doi: 10.1016/j.forsciint.2023.111834
pii:
doi:

Substances chimiques

Heroin 70D95007SX
Narcotics 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111834

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Luca Zamengo (L)

Laboratory of Clinical and Forensic Toxicology, DMPO Department, AULSS 3, Venice, Italy. Electronic address: luca.zamengo@aulss3.veneto.it.

Giampietro Frison (G)

Laboratory of Clinical and Forensic Toxicology, DMPO Department, AULSS 3, Venice, Italy.

Chiara Bettin (C)

Laboratory of Clinical and Forensic Toxicology, DMPO Department, AULSS 3, Venice, Italy.

Denis Badocco (D)

Department of Chemical Sciences, University of Padua, Padua, Italy.

Novella Ghezzo (N)

Addiction Treatment Department, AULSS 3, Venice, Italy.

Giuseppe Di Pino (G)

Harm reduction activities, Department of Social Services, Municipality of Venice, Italy.

Alberto Favaretto (A)

Harm reduction activities, Department of Social Services, Municipality of Venice, Italy.

Alessandro Pani (A)

Addiction Treatment Department, AULSS 3, Venice, Italy.

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Classifications MeSH