Adolescents are over three times more vulnerable to developing a cannabis addiction than adults, but may not be at increased risk of other mental health problems related to the drug, finds a new study led by UCL and King's ...
Jun 30, 2022
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Men who experience behavior changes including apathy or having false beliefs and perceptions in later life are at risk of faster cognitive decline than women, according to new research.
Jun 30, 2022
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Cannabis has been used by humans for thousands of years and is one of the most popular drugs today. With effects such as feelings of joy and relaxation, it is also legal to prescribe or take in several countries.
Apr 14, 2022
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The illicit use of amphetamines, the stimulants commonly known as 'speed', is linked to a 5-fold heightened risk of psychosis, finds a 10 year study published online in the journal Evidence-Based Mental Health.
Feb 14, 2022
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Three percent of the population suffers from psychotic disorders, which are an important cause of disability in adolescents and young adults. In order to adapt the medical follow-up and to avoid a worsening of the disorder, ...
Oct 28, 2021
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Schizophrenia is often diagnosed well into adulthood, typically from the late teens to early 40s. Are there early indicators that could help predict which individuals will go on to develop this serious mental illness?
Jul 27, 2021
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One person in 2000 suffers from a microdeletion of chromosome 22 that can lead to the development of psychotic disorders, such as schizophrenia, in adolescence. In addition to symptoms such as hallucinations or delusions, ...
Jun 1, 2021
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Withdrawing from antipsychotics may require months or even years, and patients need to gradually reduce to very low doses, according to a new analysis led by UCL and King's College London academics.
Mar 25, 2021
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Young people at ultra-high risk of developing psychosis have significantly higher psychotic symptoms if they are an evening person, researchers at Orygen, Australia's center of excellence in youth mental health, have found.
Mar 10, 2021
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A way of using machine learning to more accurately identify patients with a mix of psychotic and depressive symptoms has been developed by researchers at the University of Birmingham.
Feb 8, 2021
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