The opioid epidemic is a complex issue that involves multiple stakeholders, including corrupt pharmacies, smugglers, and middlemen. Neo4j, a graph database company, is working with healthcare companies to crack down on the roots of the epidemic. Graph databases offer value and reliability in addressing this complex problem due to their ability to model relationships between entities and provide context. In the context of the opioid epidemic, graphs can help identify patterns and connections between individuals and organizations, such as doctor-pharmacy collaborations that lead to excessive opioid prescriptions. Neo4j's graph algorithms, including centrality, path analysis, and community detection, can be used to analyze these relationships and identify key players in the epidemic. By leveraging graph databases and algorithms, companies like Neo4j aim to provide insights that can help prevent or mitigate the spread of opioids, ultimately influencing people's behavior and preventing harm.