The Opioid Environment Policy Scan provides access to data at multiple spatial scales to help characterize the multi-dimensional risk environment impacting opioid use in justice populations across the United States.

OpioidRL is a cutting-edge reinforcement learning (RL) library that simulates drug addiction behaviors within RL agents. Inspired by the addictive properties of drugs like methamphetamine and crack cocaine, OpioidRL offers a unique environment where agents experience reward dependency, high-risk decision-making, and compulsive behaviors — pushing

Lit review of opioid receptor using molecular dynamics

Signal Processing in Electrochemistry with Python: Applications to the US Opioids Crisis

Predicting Postoperative Opioid Use with Machine Learning and Insurance Claims in Opioid-Naïve Patients (Hur, Tang, ..., Waljee, Wiens). The American Journal of Surgery, 2021. https://doi.org/10.1016/j.amjsurg.2021.03.058

1.5 million tramadol painkillers stolen from lorry

I wrote SQL to explore Accidental Drug Related Deaths in Connecticut 2012-2018 dataset.

NHS accused of fuelling rise in opioid addiction