MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1007/s00117-017-0254-7

Медицинская библиотека · Der Radiologe · 2017

[CNS metabolism in high-risk drug abuse, German version : Insights gained from 1H- and 31P MRS and PET].

Bodea S V

СтатьяОбзорПеревод в очереди

Аннотация

BACKGROUND

High-risk drug consumption is a considerable problem for public health actors in industrialised countries. The latest trends show a market tendency towards diversification and increasing demand for high-purity synthetic drugs. Whilst most consumers seek medical help after cannabis use, it is high-risk drugs like cocaine, heroin and amphetamines that account for most of the 1000 drug-related deaths that occur in Germany every year.

PURPOSE: This article presents the most prominent in vivo cerebral metabolic information in cocaine, heroin and methamphetamine users provided by MRI spectroscopy and PET imaging.

MATERIALS AND

METHODS

We reviewed the literature reporting neuroimaging studies of in vivo metabolic data for methamphetamine, cocaine and heroin consumption published up to March 2017. The search was conducted using PubMed with the following key words: methamphetamine, cocaine, heroin, MR spectroscopy, PET.

CONCLUSION

MRI and PET are indispensable tools in gauging brain metabolic response to illegal drug abuse. Future breakthroughs in this field will most likely come from the investigation of novel neurotransmitter systems in PET and imaging phosphorus and carbon metabolites in MRI.

Для цитирования: Bodea S V. [CNS metabolism in high-risk drug abuse, German version : Insights gained from 1H- and 31P MRS and PET].. Der Radiologe. 2017. DOI: 10.1007/s00117-017-0254-7.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

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.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.