The impact of illicit drug networks on the effectiveness of law enforcement in South Africa

In the past few years, South Africa has experienced an enormous increase in the amount and types of illicit drug manufacturing, distribution and use. This has resulted in an increase in the burden of crime and health risks in the community. The patterns of drug availability and drug use have been linked to regional and country variations, socio-economic status, racial and geographical differences. Because of the dramatic increase in the availability of various illicit drugs, the United Nations Office on Drugs and Crime World Drug Report (2012) identified South Africa as one of the drug centres of the world. This raises concerns about whether law enforcement agencies perform their functions effectively. This paper focuses on the illicit drug networks that hinder the effectiveness of law enforcement in South Africa. The modus operandi used to produce and smuggle illicit drugs and the challenges experienced by law enforcement to prevent and combat illicit drugs will be discussed. The data was collected through in-depth interviews with experts within the criminal justice system in South Africa. The study conducted in 2017/ 2018 in terms of the scientific measurements, has adopted a qualitative approach. Data was collected from a target population consisting of 11 SAPS drug-related crime experts, including members of the SAPS specialised detectives of the Directorate for Priority Crime Investigation (DPCI), crime intelligence members, border police, the International Criminal Police Organisation (INTERPOL) and commanders at ports of entries. A documentary study was used as a secondary method of data collection. Data obtained from interviews were analysed by identifying common themes from the respondents' descriptions of their experiences.

‘There is no “war on drugs”’: An investigation into county line drug networks from the perspective of a London borough

County Line Drug Networks involve the transportation of drugs from urban hubs to out of city locations across the UK. County lines are a societal concern as they involve the recruitment of vulnerable individuals (adults and children), who are used as runners, exposing them to hazardous and often violent situations. This paper reports on a small scale study which provides a snapshot of the characteristics of nominals involved in county line drug network within a London Borough as well as the perspective of three expert practitioners who have substantial and detailed operational knowledge of how county line operatives work.

Pharmacomicrobiomics informs clinical pharmacogenomics

Aim: Microbiota–host–xenobiotics interactions in humans become of prime interest when clinical pharmacogenomics is to be implemented. Despite the advent of technology, information still needs to be translated into knowledge for optimum patient stratification and disease management. Material & methods: Herein, we mined metagenomic, pharmacometagenomic and pharmacomicrobiomic datasets to map microbiota–host–drugs networks. Results: Datasets were multifaceted and voluminous. Interoperability, data sparsity and scarcity remain a challenge. Mapping microbiota–host–drugs networks allowed the prediction of drug response/toxicity and modulation of the microbiota–host–drugs interplay. Conclusion: Our approach triangulated microbiota, host and drug networks revealing the need for contextual data and open science via microattribution to accelerate knowledge growth. Our findings may serve as a data storehouse for a user-friendly query system, coupled with databanks and databases.

PathFXweb: a web application for identifying drug safety and efficacy phenotypes

Summary Limited efficacy and intolerable safety limit therapeutic development and identification of potential liabilities earlier in development could significantly improve this process. Computational approaches which aggregate data from multiple sources and consider the drug’s pathways effects could add to identification of these liabilities earlier. Such computational methods must be accessible to a variety of users beyond computational scientists, especially regulators and industry scientists, in order to impact the therapeutic development process. We have previously developed and published PathFX, an algorithm for identifying drug networks and phenotypes for understanding drug associations to safety and efficacy. Here we present a streamlined and easy-to-use PathFX web application that allows users to search for drug networks and associated phenotypes. We have also added visualization, and phenotype clustering to improve functionality and interpretability of PathFXweb. Availability and implementation https://www.pathfxweb.net/. Supplementary information Supplementary data are available at Bioinformatics online.