Unknown Mental Health NIHR-supported project Psychology & Behaviour

Neurodiversity & Addiction

In plain English

AI plain-English summary

People with ADHD or autism are far more likely to develop a substance use disorder, yet addiction services rarely account for this overlap. This MSc project will analyse existing data to measure how common substance use disorders are among people with ADHD and autism in the UK, and whether those individuals are actually accessing the services they need. The core problem is a gap in knowledge: clinicians and service commissioners do not know the true scale of the overlap, nor whether current addiction treatment pathways are failing neurodivergent patients. If the research succeeds, it could provide the first concrete prevalence figures for co-occurring substance use disorders and ADHD or autism in a UK service context. That data would give addiction services, GPs, and mental health teams a clear signal to adapt screening protocols and treatment approaches. The practical impact would be on healthcare delivery—specifically, how addiction services triage and treat patients who may need adjustments for neurodivergence, rather than being offered a one-size-fits-all programme that does not work for them. This is a small-scale MSc project, so it will not produce a new treatment or policy, but it could generate the evidence needed to justify a larger study.

View original technical description
MSc research project analysing the prevalence between substance use disorder and ADHD/Autism and the overlap with service use.

Researchers

Claudia Davidson (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

Examining the aetiology of alcohol use in autistic adults
The impact of late diagnosis of autism and ADHD on long term educational and economic outcomes.
Conceptualising and Measuring Attention-Deficit Hyperactivity Disorder (ADHD) Across the Lifespan
Reinforcer-specific value-based decision-making in persistence of and recovery from alcohol use disorder
Embracing complexity in the characterisation and trcking of individual wellbeing across development

Original classification

Informatics

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.