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
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
111834Informations 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.