Evidence map›Paper›PMID 41684524›Full record

ReviewFrontiers in psychiatry2025

High hopes? Precision psychedelic addiction medicine.

Rayyan Raja Zafar, Patrick Kleine, Danielle Kurtin, Matthew Wall, David Erritzoe

Abstract readReview
In one paragraph

Review in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rayyan Raja ZafarCentre for Psychedelic Research and Neuropsychopharmacology, Division of Psychiatry, Department of Brain Sciences, Imperial College London, London, United Kingdom.
Patrick KleineCentre for Psychedelic Research and Neuropsychopharmacology, Division of Psychiatry, Department of Brain Sciences, Imperial College London, London, United Kingdom.
Danielle KurtinCentre for Psychedelic Research and Neuropsychopharmacology, Division of Psychiatry, Department of Brain Sciences, Imperial College London, London, United Kingdom.
Matthew WallCentre for Psychedelic Research and Neuropsychopharmacology, Division of Psychiatry, Department of Brain Sciences, Imperial College London, London, United Kingdom.
David ErritzoeCentre for Psychedelic Research and Neuropsychopharmacology, Division of Psychiatry, Department of Brain Sciences, Imperial College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite decades of neuroscience research and significant investment in addiction neuroimaging, clinical outcomes for individuals with substance use and behavioural addictions remain poor. Only 1.8% of people with substance use disorders receive effective treatment, highlighting a major disconnect between mechanistic understanding and clinical utility. This paper calls for a reorientation of addiction neuroscience, from a predominantly diagnostic focus toward a theragnostic framework, in which biomarkers are used to stratify patients, guide treatment decisions, and predict outcomes. We argue that the integration of translational neuroimaging biomarkers, particularly fMRI, EEG, and PET, within psychedelic addiction research offers a unique and timely opportunity to catalyse this shift. Psychedelic compounds such as psilocybin represent a new class of therapeutics capable of engaging neuroplasticity, reward and emotional processing, and cognitive control networks central to addiction pathophysiology. We review how acute and pre-post neuroimaging paradigms can index pharmacodynamic effects and longer-term treatment response and propose a roadmap for embedding biomarkers in early and late phase clinical trials. Drawing on ongoing studies at the Centre for Psychedelic Research at Imperial College London, we outline how multimodal biomarkers are being co-developed alongside clinical trials in gambling and opioid use disorders to identify biotype-specific responses and build a deeply phenotyped treatment population. We argue that these biomarkers, if validated, could serve as regulatory-grade tools for drug theragnostic co-development, mirroring successful models in oncology and neurology. Importantly, we emphasise that realising this vision will require robust multi-stakeholder collaboration, including academia, industry, regulatory agencies, funders, healthcare systems, and patient groups alongside dedicated investment to build a scalable theragnostic infrastructure for addiction research and medicine. In conclusion, psychedelic therapy offers more than symptomatic relief, it presents a vehicle for transforming how we diagnose, treat, and understand addiction. By embracing theragnostic principles and prioritising biomarker integration, addiction medicine has the potential to move towards personalised and precision-guided care.

Indexed as

addictionbiomarkerEEGfMRIPETprecision psychiatrypsychedelic

Identifiers

PMID41684524
PMCPMC12891173

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.