Evidence map›Paper›PMID 42836068›Full record

ArticleArchives of academic emergency medicine2026

Modulatory Effects of Methadone on Brain Network Instability in Methamphetamine Use; A Cross-sectional Study.

Javad Sheikhi Koohsar, Sadegh Masjoodi, Farzad Ashrafi, Mehran Arab-Ahmadi, Babak Jamshidi, Amir Khorasani, Alireza Azizi, Melika Boroomand-Saboor, Shahriyar Jamshidi Zargaran, Mohammad Bagher Tavakoli

Abstract read
In one paragraph

Article in Archives of academic emergency medicine, 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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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Javad Sheikhi KoohsarDepartment of Bioimaging, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Sadegh MasjoodiShiraz Neuroscience Research Center, Assistant Professor, Medical Engineering, Shiraz University of Medical Sciences, Iran.
Farzad AshrafiNeurology department, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mehran Arab-AhmadiAdvanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Babak JamshidiMedical Statistician, KiTEC, King's College London, London, UK.
Amir KhorasaniDepartment of Bioimaging, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Alireza AziziDepartment of Neuroscience, Shahroud University of Medical Sciences, Shahroud, Iran.
Melika Boroomand-SaboorFaculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahriyar Jamshidi ZargaranDepartment of Bioimaging, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Mohammad Bagher TavakoliDepartment of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: While methadone maintenance therapy (MMT) is well established in opioid use disorder, its potential modulatory effects on brain network dynamics in methamphetamine use disorder (MUD) remain unclear. This study aimed to evaluate the association of MMT with normalization of disrupted brain network activity in MUD. Methods: In this cross-sectional study, resting-state functional magnetic resonance imaging (MRI) data were obtained from healthy controls, untreated methamphetamine users, and methamphetamine users receiving MMT who also met diagnostic criteria for opioid use disorder and were enrolled in supervised MMT programs. Dynamic functional connectivity was assessed using dynamic independent component analysis within the CONN toolbox. Clinical status was evaluated using the Positive and Negative Syndrome Scale (PANSS) and Brief Assessment of Cognition in Schizophrenia (BACS). Group comparisons were performed using general linear models controlling for age, education level, duration of methamphetamine use, and head-motion parameters. Results: 110 participants (35 healthy controls, 45 untreated individuals with methamphetamine use, and 30 individuals with methamphetamine use receiving MMT) were studied. Cognitive performance assessed using BACS differed significantly across groups (p = 0.002, η² = 0.332), with untreated methamphetamine users demonstrating the lowest scores (19.88 ± 6.20), healthy controls the highest scores (30.38 ± 5.85), and MMT-treated participants showing intermediate performance (22.48 ± 7.61). Compared with untreated methamphetamine users, MMT-treated participants showed higher BACS scores, although the methamphetamine versus MMT effect was small-to-moderate (Cohen's d = -0.38, 95% confidence interval (CI): -0.85 to 0.08). PANSS positive, negative, and general psychopathology scores differed significantly across groups (all p < 0.001), with large effect sizes (η² range = 0.802-0.913). Untreated methamphetamine users exhibited the greatest symptom severity (Cohen's d = 2.74, 95% CI: 2.10-3.38), whereas MMT-treated participants showed lower symptom burden than untreated users (Cohen's d = 2.26, 95% CI: 1.67-2.85), although scores remained elevated relative to healthy controls (d = 4.22, 95% CI: 3.34, 5.11). The methamphetamine versus MMT effect sizes were large for PANSS positive (Cohen's d = 2.74, 95% CI: 2.10-3.38), PANSS negative (Cohen's d = 2.26, 95% CI: 1.67-2.85), and PANSS general psychopathology (Cohen's d = 1.64, 95% CI: 1.11-2.18). Conclusion: Methamphetamine use is associated with disrupted and unstable brain network dynamics that may underlie acute neurobehavioral disturbances seen in emergency settings. MMT was associated with partial stabilization of these alterations, suggesting a potential neurobiological benefit beyond opioid substitution. Persistent network abnormalities, however, indicate the need for adjunctive therapeutic strategies. Dynamic connectivity measures may offer a novel biomarker for risk stratification and management of substance-related emergencies.

Indexed as

Amphetamine-related disordersConnectomeFunctional neuroimagingOpiate substitution treatment

Identifiers

PMID42836068
PMCPMC13637431

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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.