A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Changes in illicit, licit and stimulant designer drug use patterns in South-East Hungary between 2008 and 2015. | LitMetric

Changes in illicit, licit and stimulant designer drug use patterns in South-East Hungary between 2008 and 2015.

Leg Med (Tokyo)

Department of Forensic Medicine, Faculty of Medicine, University of Szeged, Kossuth L. sgt. 40., H-6724 Szeged, Hungary. Electronic address:

Published: September 2017

AI Article Synopsis

  • The study examines changes in drug consumption patterns among suspected users in South-East Hungary from 2008 to 2015, analyzing samples from 2,976 individuals.
  • THC emerged as the most commonly detected substance, with various drug usage trends noted: cannabis use declined after 2010, classical stimulants remained stable with a spike in 2015, and benzodiazepine use rose steadily.
  • The prevalence of stimulant designer drugs peaked in 2012-2013, with a notable increase in multi-drug use from 30-43% to 52% in 2015, highlighting shifts in both testing results and seizure rates.

Article Abstract

The aim of this work is to present the changes in classical illicit and licit drug, as well as stimulant designer drug (SDD) consumption of suspected drug users in South-East Hungary between 2008 and 2015. Urine and/or blood samples of 2976 subjects were analyzed for these groups of substances of which 1777 (59.7%) were tested positive. THC was the most frequent (32.2%) substance, followed by classical stimulants (amphetamine, metamphetamine, MDMA, cocain) (21.4%), SDDs (17.0%), benzodiazepines (15.5%), medical opiates (codeine without morphine, methadone, tramadol) (4.03%), and morphine with or without 6-acethyl-morphine (1.98%). The annual rate of cannabis consumption continuously decreased after 2010. The use of classical stimulants was constant, except for a significant increase in 2015. Benzodiazepine incidence increased and remained steady after 2011. Medical opiate and morphine frequency was variable. SDDs were found in the highest number in 2012-13, exceeding the frequency of classical stimulants. The most prevalent SDDs were as follows: 2010 - mephedrone, 2011 - 4-MEC, methylone, MDPV, 4-FMC, and 4-FA, and 2012-2015 - pentedrone. Beside pentedrone, 3-MMC, αPVP, αPHP, and 4-CMC were detected with a notable number in this period. Multi-drug use was found in 30-43% of suspects tested positive between 2008 and 2014, which elevated to 52% in 2015. The frequency of substances in the biological samples corresponded to their seizure rate. When SDDs were included on the NPS list, their frequency in biological samples and in seized materials slightly decreased or did not change. However, a marked decrease was observed following classification as illicit drugs.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.legalmed.2017.07.001DOI Listing

Publication Analysis

Top Keywords

classical stimulants
12
illicit licit
8
stimulant designer
8
designer drug
8
south-east hungary
8
hungary 2008
8
2008 2015
8
tested positive
8
biological samples
8
changes illicit
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!