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The opioid epidemic in the USA, the new psychoactive substances emerging on the market and the recent increase in cocaine treatment demands in Western Europe, all emphasise the importance of monitoring the use and harms of drugs over time. To be informed about new consumption patterns, this study aims to study the trends among people entering treatment for substance use in Belgium.

Belgian data from the Treatment Demand Indicator collected between 2015 and 2019 were used. A reference group of treatment units was selected to allow for comparisons between the different years. Trend analysis was performed by using a joinpoint regression among different regions and groups of clients.

The drugs of choice that were most frequently mentioned among the 23,000 analysed treatment episodes were alcohol and cannabis. Both remained relatively stable over time. Heroin seemed to be decreasing significantly at the national level, but increased in Brussels. Benzodiazepines decreased significantly in Flanders and Brussels, but not in Wallonia. On the other hand, reports of crack cocaine increased significantly in the three regions with a more pronounced trend in Wallonia and Brussels. Substances such as fentanyl, methamphetamine, ketamine or volatile inhalants have been mentioned significantly more by people entering treatment in 2019, although their contribution to the total number is still limited.

To the best of the authors’ knowledge, this study is the first to evaluate trends for all drugs of choice at a national and regional level. These results might not only benefit national policymakers but also other countries with similar alcohol or drug use patterns.

Alcohol, tobacco, marijuana and other drugs use typically increases in prevalence and frequency during middle and late adolescence. School health instruction often focusses on providing facts and rarely provides tools for addressing the psychosocial risk factors needed to prevent substance use. The purpose of this paper is to report about the effectiveness of a prevention programme delivered in US high school health classes. The intervention augments typical instruction by providing teachers with activities that can be infused in their daily teaching.

In total, 26 schools were randomly assigned to receive the intervention or serve as controls. Pupils were pretested near the beginning of the school year, posttest near the end of the school year and administered a final test near the beginning of the following school year. Teachers in treatment schools were provided with activities designed to target psychosocial variables known to mediate substance use onset and self-initiated cessation. These include normative beliefs, intentionality, lifestyle incongruence, beliefs about consequences of use, peer pressure resistance skills, decision-making skills, goal setting skills and stress management skills.

Hierarchical modelling analytic strategies revealed the intervention to have definable positive impacts on alcohol and cigarette use. Moreover, the intervention had strongest effects on alcohol and cigarette use among pupils who were identified at pretest as being lower-than-average risk.

This research provides support for providing teachers with a strategy for preventing alcohol, tobacco and other drugs that can be used in a flexible manner to augment the instruction they are already mandated to provide.

Cryptomarkets on the dark web have emerged as a hub for the sale of illicit drugs. They have made it easier for the customers to get access to illicit drugs online while ensuring their anonymity. The easy availability of potentially harmful drugs has resulted in a significant impact on public health. Consequently, law enforcement agencies put a lot of effort and resources into shutting down online markets on the dark web. A lot of research work has also been conducted to understand the working of customers and vendors involved in the cryptomarkets that may help the law enforcement agencies. In this research, we present a ranking methodology to identify and rank top markets dealing in harmful illicit drugs. Using named entity recognition, a harm score of a drug market is calculated to indicate the degree of threat followed by the ranking of drug markets. The top-ranked markets are the ones selling the most harmful drugs. The rankings thus obtained can be helpful to law enforcement agencies by locating specific markets selling harmful illicit drugs and their further monitoring.