ArticleEuropean journal of nuclear medicine and molecular imaging2026
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Article in European journal of nuclear medicine and molecular imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
12 authors.
Funding
Abstract
purposeTo examine the relationship between brain mu opioid receptor (MOR) availability and liver activity in opioid use disorder (OUD) patients treated with methadone (MET) or buprenorphine (BUP).
methods10 OUD patients, 5 treated with MET and 5 with BUP, as well as 13 healthy controls (HCs) underwent total-body PET [
resultsBrain MOR availability was significantly lower in the OUD groups relative to HCs (p < 0.001), more so in BUP-treated (mean MOR difference = 39.9 ± 15.9%, Cohen's d = 3.35) than MET-treated (mean MOR difference = 14.2 ± 9.9%, d = 1.90) patients. Central MOR availability was inversely related to serum drug levels, linearly in MET treated (R2 = 0.83) and logarithmically in BUP-treated (R2 = 0.96), consistent with distinct receptor occupancy dynamics. Hepatic Vt differed across groups (p < 0.003) with levels in both OUD groups lower than in HCs (p < 0.05). In MET-treated patients, hepatic Vt was strongly associated with brain MOR availability (R
conclusionsDrug-specific, brain-liver pharmacokinetic profiles were observed in OUD patients treated with MET versus BUP. While MET patients demonstrated coupling between hepatic tracer kinetics and brain receptor occupancy, BUP patients did not. These findings demonstrate that drug-specific brain-body pharmacokinetics may underscore observed clinical differences in opioid agonist effects in OUD.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.