SBIR/STTR Research Award

Methadone Dosing System (MDS)

Award identifier 1e1a2e3cce17f8cb5da07cacf5b9755834d9762743845052818af7513e1afe38Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,447,789

Program and phase

SBIR · Phase II

Award year

2025

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
CARI HEALTH INC
Proposal award date
2025-07-01
Contract end date
2027-06-30
UEI
NE1LFLNBCUG7
Solicitation number
PAR21-282
Topic code
NIDA

Research abstract

One of the biggest obstacles for patients seeking to break an opioid addiction is overcoming their physical dependence on the drug, which can cause extreme withdrawal symptoms, including nausea, diarrhea, bone and muscle pain, tachycardia, hypertension, fever, and chills. Relief from withdrawal symptoms is a common cause for patient relapse, and the fear of a negative withdrawal experience is a major barrier to voluntary discontinuation of opioid use (Pergolizzi 2020). Methadone is a commonly prescribed medication for opioid use disorders (OUDs) that has been shown to decrease mortality and improve OUD treatment retention (Suen 2022, Santos 2021), but anywhere from 30% to 80% of patients receiving methadone maintenance treatment (MMT) respond poorly to treatment (Fonseca et al., 2011). A major reason for this wide range of response is the genetic variability of metabolism. Slow metabolism can lead to drug accumulation and negative side effects, while high metabolism can rapidly deplete therapeutic concentrations of methadone and lead to withdrawal and/or additional drug use (Kharasch, 2017). Individual metabolic differences can result in a 17-fold variation in methadone serum levels for a given dose (Eap et al., 2002), yet current practice is to follow a general algorithm for methadone dose adjustments that restricts dose increases to 5 to 10 mg without regard for metabolism. This proposed FastTrack project aims to develop and commercialize a new science-based approach for methadone dosing adjustments that uses novel, non-invasive point-of-care technology to evaluate small blood samples taken from patients using the well-established finger prick method and quickly evaluate the methadone rate of metabolism via a proprietary sensor to enable better, individualized methadone dosing decisions. In Phase I of the project, we will demonstrate the technical feasibility to accurately detect and measure methadone levels in a small validation study with screen printed electrode-based sensors. In Phase II of the project, we will confirm those results by developing a proof- of-concept device to conduct a small-scale feasibility study that will inform the design of the commercial version. A pre-pivotal clinical study with the commercial-grade device will then be conducted to evaluate device performance. This will be followed by a clinical trial pivotal study to correlate the commercial-grade device’s methadone metabolism measurements with the current gold standard, the cumbersome and untimely trough and peak analysis. Additional activities will take place to prepare the CARI system for regulatory clearance. If successful, the CARI solution has the potential to dramatically improve the benefit-risk profile of MMT treatment by providing methadone dosing guidance that is much faster, less onerous, and more widely adopted than currently used methods. With more accurate metabolism-informed methadone dosing for OUD treatment, it is expected that patients will experience fewer withdrawal systems, improving their perception of care and patient retention rates, thereby reducing the rates of relapse and overdose.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

7 SBIR/STTR records share this UEI (2016–2025). Reported award amounts total $6,268,699. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services, National Science Foundation

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.