The Brandeis Opioid Resource Connector serves community stakeholders working to combat the opioid epidemic. It is a product of the Brandeis Opioid Policy Research Collaborative.
The heart of the Brandeis Opioid Resource Connector is our curated list of Program Models that address the many aspects of the opioid crisis.
Successful responses to the opioid crisis involve coordination among agencies and stakeholders within a community, ensuring that essential interventions across the continuum of care are implemented with available resources.
Understanding the numbers behind the opioid epidemic, and demonstrating how it affects a community, are critical steps in determining what approaches should be prioritized, and in informing local efforts.
This section contains links to a curated list of external resources related to actionable responses to the opioid crisis.
An important step in countering the opioid crisis is to prevent new cases.
Prevention often includes providing treatment providers, educators, parents, and potential substance users with the knowledge and skills they need to prevent harmful behaviors.
Research indicates that comprehensive, effective treatment for opioid use disorder increases one’s chances of wellness.
There is a range of evidence-based approaches from FDA-approved medications to cognitive-behavioral interventions to mutual aid groups. Treatment planning should be tailored to the individual.
We know that opioid use disorder can be a chronic condition and recurrence is common. Recovery is the process by which people sustain wellness by focusing on improving one’s health, sense of purpose, and connection with community.
Harm reduction aims to reduce the adverse health, economic, and social consequences of substance use. Effective harm reduction approaches are designed to be practical, feasible, and safe.
A toolkit that guides population size estimation of people who inject drugs (PWID), with specific emphasis on applying this method in rural communities. This toolkit details the capture-recapture strategy for population size estimation of PWID and discusses how to interpret and operationalize this data.
