The opioid crisis remains a critical public health challenge in the United States. Despite national efforts to reduce opioid prescribing rates, opioid overdose deaths have tripled. This study investigates the importance of social vulnerability factors in opioid-related mortality. It analyzes county-level data and identifies patterns that require further investigation. The study employs machine learning models to predict county-level opioid-related mortality rates, identifying the most important social vulnerability factors.