A Clinically Relevant Multi-Case Model of Naloxone Reversal of Fentanyl-Induced Respiratory Depression

Up until the recent COVID-19 pandemic the greatest social/medical crisis in the United States has been the opioid epidemic, taking 128 lives a day per the CDC. Two of the high-level BioGears objectives are lowering the barrier to create medical training content and training the military. I believe that a clinically relevant comprehensive model of the naloxone reversal of fentanyl-induced respiratory depression could serve both as a training tool for emergency medical personnel as well as a predictive tool for the dose and frequency of nasally administered naloxone. Current guidelines for nasal naloxone usage are ambiguous and dependent on a wait-and-see approach instead of a high-fidelity data-driven predictive model, which risks under-usage of the life-saving drug due to basic human error.