Abstract
Methadone is an effective treatment for opioid use disorder (OUD) that is delivered in the U.S. through
specialized Opioid Treatment Programs (OTPs). Since the inception of the OTP system many decades ago,
federal regulations have required frequent clinic attendance to monitor patients’ response to treatment and
reduce the risks of methadone diversion. Patients can only ‘earn’ take-home methadone after significant time
in treatment while demonstrating rigid standards for adherence and stability. However, these classic
regulations are not grounded in strong empirical evidence.
The COVID-19 pandemic transformed service delivery practices at OTPs. To reduce crowding in clinics,
SAMHSA regulators swiftly issued regulatory exemptions that gave OTPs unprecedented discretion to provide
take-home methadone doses and deliver counseling via telehealth. OTPs were suddenly permitted to dispense
up to 14 days of take-home methadone for ‘less stable’ patients, and 28 days for ‘stable’ patients. More
recently, SAMHSA reaffirmed the regulatory exemptions and announced intentions to pursue permanent
regulatory reform for OTPs. However, research is needed to examine the scope and impact of these major
changes to care delivery.
This study will (1) characterize practice changes at OTPs following the COVID-19 pandemic and the issuance
of regulatory exemptions, (2) Examine the relationship of two major practice changes (expanded take-home
methadone and telehealth practices) and patient outcomes, (3) develop a prediction model to inform decision-
making about when patients can safely receive take-homes without increasing risk of negative outcomes, and
(4) examine the relationship between expanded take-home methadone and methadone overdose deaths at a
population level.
The study will use clinical and administrative data from BayMark Health Services, the largest provider of
outpatient OUD treatment in the U.S., with 100 OTPs in 23 states. Advanced analytical methods will be applied
to answer the research questions, including multilevel generalized linear mixed modeling, predictive modeling
and simulation methods, and interrupted time series. All analyses will consider behavioral health equity and
examine disparities with respect to patients’ sex, race, and ethnicity.
This study will provide critical data for regulators, OTP administrators, and practitioners. It will yield highly
novel data to support evidence-driven regulatory reform, and could shape methadone treatment delivery over
the next decade and beyond. The COVID-19 pandemic and associated federal exemptions offer an
unprecedented opportunity to evaluate long-held assumptions about how methadone treatment should be
structured to maximize its benefits while safeguarding patients and the public from unintended harm.