Substance use disorder is a treatable medical illness.
Treatment must be easy, affordable, and respectful so that people choose treatment over illicit drugs.
Treatment must be patient-centered rather than profit-centered.
Authentic partnerships with people who use drugs are essential to developing effective approaches to treatment, and we must continually ask how we are doing from their perspective.
Our focus is changing lives, not changing drug tests. We take a harm reduction approach that measures success by whether patients meet their goals—whether that is to get a job, get their kids back, or stop using all drugs.
The individual use of drugs should not be a crime.
The current approach to people who use drugs is a broken system that creates racial and social injustices.
How We Work
We are part of a movement.
Our ambitious goal requires galvanizing providers, patients, and communities to join a movement to change the conversation about addiction and promote more effective, just, and humane responses to people addicted to any type of drug.
We value evidence and efficacy over profits and professional interests.
Our model focuses on evidence-based treatment and practices that have been shown to produce better results for people who use drugs. We are not advancing the interests of hospitals or providers.
While our work is grounded in science, we are not afraid to question conventional practice. We are always seeking innovative ways to improve care for people who use drugs.
We focus on real-world applications.
Our focus is on making evidence-based practices work in real-world settings. We are practical and flexible. We consider how financing, legal issues, staffing, and other non-clinical factors impact care.
We speak out for what we believe.
We advocate for what we believe is in the best interest of patients, even if it means expressing views that are unpopular or contrary to established practice.
We learn from our mistakes.
Medical practice is always evolving. We know that what we do today will have unintended consequences. We are committed to studying our mistakes and using them to improve our model.