Drug testing and analysis · 2017
Drug residues in used syringes in Switzerland: A comparative study.
Сравнительное исследованиеСтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Lefrançois Elodie, Augsburger Marc, Esseiva Pierre
Аннотация
Harm reduction services, including needle-exchange programmes, have been implemented in Switzerland for over 20 years. Their main aim is to lessen the negative social and/or physical consequences associated with illicit drug consumption and, therefore, improve prevention messages. To this end, knowledge of illicit drug consumption practices is necessary. Periodic self-report surveys are the primary source of data for monitoring drug users' behaviour. Analysis of residual content of used syringes can bring further and objective knowledge about consumed products through analytically confirmed data. Used syringes were sampled in 2 syringe-exchange facilities in Lausanne. These structures are a bus where the users bring back their syringes (ABS) and an automatic injecting kit dispenser (AIKD). Once syringes were collected, a validated gas chromatography-mass spectrometry (GC-MS) method was implemented in order to detect drugs (licit or illicit) contained in the residual content of used syringes. Cocaine was the most common drug detected alone (39% in ABS and 31% in AIKD), followed by the simultaneous detection of heroin and cocaine (12% and 17%) and heroin and midazolam (12% and 17%). The differences between the illicit drugs distribution of used syringes collected in AIKD and ABS were not statistically significant. Analysis of residual content of used syringes as a monitoring tool is an original approach that has already led to a better understanding of the habits of drug-injection users. Over the long term, this approach is a powerful tool to track and detect new consumption practices in a quasi-real-time.