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Illicit drug consumption estimated by wastewater analysis in different districts of Milan: A case study.

Authors :
Castiglioni, Sara
Borsotti, Andrea
Riva, Francesco
Zuccato, Ettore
Source :
Drug & Alcohol Review; Mar2016, Vol. 35 Issue 2, p128-132, 5p
Publication Year :
2016

Abstract

<bold>Introduction and Aims: </bold>Wastewater analysis is a new approach developed to estimate illicit drug (ID) consumption in large communities, such as a city. We tested the ability of this approach to detect differences in consumption in different districts of a city.<bold>Design and Methods: </bold>Consumption of cocaine, heroin, tetrahydrocannabinol (THC) (cannabis active principle), amphetamine, methamphetamine and ecstasy was estimated by analysis of selected drug excretion residues in composite 24 h samples of untreated urban wastewater by liquid chromatography-tandem mass spectrometry. Samples were collected from the inlet of the three main Milan wastewater treatment plants (WWTP), each serving a district of the city (west, center and east). In each WWTP, samples were taken daily for seven consecutive days in November 2010 and March 2011.<bold>Results: </bold>We observed significant differences of ID consumption (expressed as mg/day/1000 inhabitants) among districts: consumption of some ID was significantly higher in the eastern district (P < 0.01 for THC, P < 0.001 for cocaine and P < 0.0001 for heroin by one-way analysis of variance), while consumption of methamphetamine and amphetamine was higher in the central area (P < 0.0001). Overall, from 2010 to 2011, ID consumption decreased in all the districts, in line with a recent population survey showing decreases from 25 to 55% in the annual prevalence of ID users in Italy.<bold>Discussion and Conclusions: </bold>This approach may help to detect ID consumption in different districts of a city and may be useful for planning interventions aimed at specific city areas and substances. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09595236
Volume :
35
Issue :
2
Database :
Complementary Index
Journal :
Drug & Alcohol Review
Publication Type :
Academic Journal
Accession number :
113928670
Full Text :
https://doi.org/10.1111/dar.12233