Machine learning– and multilayer molecular network–assisted screening hunts fentanyl compounds

Science Advances

Fentanyl and its analogs are a global concern, making their accurate identification essential for public health. This article introduces Fentanyl-Hunter, a screening platform that uses a machine learning classifier and multilayer molecular network that covers more than 87% of known fentanyls to select and annotate fentanyl compounds using mass spectrometry (MS). Fentanyl-Hunter identified fentanyl members in biological and environmental samples. During biotransformation, 35 metabolites from four widely consumed fentanyl derivatives were identified. Norfentanyl was the major fentanyl compound in wastewater. Retrospective screening of these biomarkers across more than 605,000 MS files in public datasets revealed fentanyl, sufentanil, norfentanyl, or remifentanil acid in more than 250 samples from eight major countries, indicating the potential widespread presence of fentanyl.

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Evaluation of a Novel Patient-Centered Methadone Restart Protocol 🔓

JAMA Network Open

Restarting methadone for patients who have had a gap in treatment is often a frustratingly slow process for both the patient and provider. This cohort study of individuals examined outcomes for patients of a public, safety-net opioid treatment program before (n=786 patients) and after (n=780 patients) implementation of a 2022 clinical protocol focused on individualized methadone restart doses based on opioid tolerance. Preimplementation restart doses were 32.8% lower than the last prior methadone dose, whereas postimplementation restart doses were only 3.4% lower than the last prior methadone dose. There was no significant change in patient safety (emergency department visits within 7 days after restart and all-cause mortality within 7 and 90 days after restart) or 90-day retention in care.

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Recommendations for Addressing In-Hospital Substance Use From a National Delphi Consensus Process

JAMA Network Open

This survey study utilized a 3-round Delphi consensus process to identify best practices for addressing in-hospital substance use. A panel of 38 addiction experts developed 84 consensus-based and patient-centered recommendations which can inform local responses, including policies, to address in-hospital substance use.

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