Access resources to establish and manage a robust drug diversion program
The State of Drug Diversion 2025 Report
The State of Drug Diversion Report offers a comprehensive view of hospital practices from the perspective of executives, pharmacists, and drug diversion specialists, revealing key trends, challenges, and opportunities in the fight against drug diversion.
AJHP: Drug diversion study using machine learning and advanced analytics
The American Journal of Health-System Pharmacy published a research study to develop novel drug diversion detection methods.
DEA expectations and best practices: Investigating and reporting diversion
Learn from a Diversion Investigator about best practices to investigate and report suspected drug diversion.
Diversion of non-controlled medications: High-risk drugs for self-abuse
Explore how to combat the diversion of non-controlled substances at high risk for misuse and self-abuse.
Preventing drug diversion in your healthcare facility: New guidelines from ASHP
Review ASHP’s revised guidelines outlining strategies to develop and implement a comprehensive controlled substance diversion prevention program.
How to avoid a multimillion diversion fine from the DEA at your hospital
Dwayne Jeffcoat from the DEA Diversion Control Division shares real-life cases and insights to help comply with DEA regulations and avoid multimillion-dollar fines.
Drug diversion's latest for state regulators, law enforcement, and payers
Learn how healthcare facilities can detect diversion earlier with machine learning and advanced analytics, saving hours of manual investigation.
How robust is your drug diversion program?
In this webinar, explore the layers of the drug diversion funnel, which provide a framework for assessing and improving an organization’s ability to detect and prevent drug diversion.
A patient safety imperative: Preventing diversion of injectable drugs
Explore the complexities of identifying drug diversion of injectable opioids and other anesthetic drugs.
Supporting nurses with substance use disorder and drug diversion
With 18% of nurses showing signs of substance use disorders, supporting nurses to prevent drug diversion is essential.
Detecting drug diversion faster using NIH-funded machine learning analytics
AJHP published a 5-year NIH-funded study using machine learning and analytics to improve drug diversion detection.
Drug diversion and addiction in anesthesia: An occupational hazard
Learn from Dr. Keith Berge of Mayo Clinic about the elevated risk of substance abuse for anesthesia providers.