In 2023, 316 million people worldwide had used illicit drugs in the past year according to the U.N. Office on Drugs and Crime—representing a 28% increase over the last decade. Even as law enforcement agencies step up eff orts to find and seize illegal narcotics, drug traffickers have adapted quickly to changing interdiction efforts. Facing this global challenge with limited resources for surveillance and interdiction, law enforcement agencies must adopt new strategies to combat narcotrafficking.
But what if focusing primarily on single-point drug interdiction was too limited an approach? How should law enforcement re-tool their policies for the complexities of the synthetic drug era to stop the fl ow of drugs like fentanyl? Why should law enforcement agencies build a data-and-modeling backbone to inform their interdiction decisions, and what would this AI-guided strategy look like?
NSDPI researchers unpack these questions and more in this new paper analyzing global counternarcotics as a “complex system” problem. After summarizing four methodological approaches to study narcotics interdiction challenges, we identify key emerging trends in narco trafficking and off er data-driven policy recommendations.
By examining the challenges of counternarcotics from a holistic perspective, analysts, policymakers, and law enforcement can adopt a multi-pronged strategy that includes working with producer countries, managing drug demand, and improving detection/response for supply-side interdiction. Key takeaways from this research include:
- Drug interdiction is especially challenging because it intersects with three complex problem sets: 1) global supply chains shaping where and how narcotics are produced and by whom; 2) surveillance and intelligence collection to observe drug production and movement; and 3) operational interdiction decisions about where and how to disrupt flows.
- To fight the synthetic drug trade, law enforcement should prioritize disrupting the supply-chain of this commodity that does not obey traditional spatial constraints and can be shipped as pills via internet-enabled trade.
- Because illicit activities like the drug trade are deliberately concealed, there is a severe lack of reliable data to study narco trafficking interdiction problems. This means agencies should invest in more comprehensive data and use theory/simulation (including synthetic data, game-theoretic approaches, and agent-based modeling) to allocate scarce surveillance resources against adaptive adversaries.