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An editorial is presented on the distinctions between "Addiction Medicine" and "Addiction Psychiatry" in treating Substance Use Disorders (SUDs). It emphasizes the physiological aspects of addiction medicine, as opposed to addiction psychiatry, it focuses on psychological therapies. It emphasizes the treatment of intoxications, withdrawal syndromes, and medical problems in Addiction Medicine.

Substance-induced psychosis is a secondary psychotic disorder resulting from drug abuse, characterized by one or more psychotic episodes. Drug-induced psychosis is expected to resolve after a 30-day period of sobriety, however, individuals with this condition are more likely to develop severe drug addiction. Compared to primary psychosis, participants with drug-induced psychosis exhibit poorer family history of psychotic diseases, higher insight, fewer positive and negative symptoms, more depressive symptoms, and greater anxiety. Substance-induced psychosis is strongly associated with the emergence of bipolar illness or schizophrenia spectrum disorder, with an increased chance of developing schizophrenia at a younger age. Episodes of self-harm after substance-induced psychosis are strongly linked to an elevated likelihood of developing schizophrenia or bipolar disorder. Effective treatment involves ruling out emergencies, investigating underlying causes, and addressing acute intoxication and withdrawal. Management includes dynamic assessment, intervention, and vigilant monitoring in cases of suicidal behaviour. Antipsychotics may be used for short term, with gradual discontinuation when a person is in a stable condition. Relapse prevention strategies, both medication and non-medication-based, are crucial in long-term management. Conversion rates to schizophrenia or bipolar disorder can be as high as one in three individuals, with cannabis users and those with early-onset substance abuse at the highest risk. [ABSTRACT FROM AUTHOR]

Alcohol consumption has a key role in more than 200 diseases and health injuries, being an important factor for social and public health costs. Studies with clinical populations show an association between alcohol use disorders (AUD) and bipolar disorder. In this meta-analysis we included studies, reports, or summaries identified in Google Scholar, Lilacs, Medline, and MedCaribe that reported original data published up to 31 January 2023. We included cross-sectional and longitudinal observational studies that investigated the prevalence of AUD in patients with bipolar disorder. We calculated the prevalence rates and conducted a meta-analysis using a random effects model. The meta-analysis included 20 unique studies conducted in 12 countries, with a total sample of 32,886 individuals with bipolar disorder, comprising 17,923 women and 13,963 men, all aged 18 years or older. The prevalence of AUD in individuals with bipolar disorder was found to be 29.12%, while the prevalence of Alcohol Dependence (AD) was 15.87% and the prevalence of Alcohol Abuse (AA) was 18.74%. The high prevalence of AUD individuals with bipolar disorder is important because it highlights the need for targeted interventions to prevent and address comorbid conditions, which may improve treatment outcomes, reduce harm, and promote public health. [ABSTRACT FROM AUTHOR]

Smoking rates among individuals with mental disorders are higher compared to general population. We aimed to investigate the effectiveness of a smoking cessation treatment among individuals with and without mental disorders. Self-report 7-day point prevalence was used to assess abstinence status among 'intention to treat' (n = 1,213) and 'completers-only' (n = 578) samples. Participants were distributed in (1) ND-only; (2) ND and other substance use disorder (ND-SUD); (3) ND associated with mental disorder but no other SUD (ND-MD); and (4) co-morbid ND, SUD and MD (ND-SUMD). The treatment program was composed by six weeks of group Cognitive Behavioral Therapy (CBT) and medical consultations. Multivariate logistic regression models were applied. Rates of abstinence between ND-only and both ND-MD and ND-SUMD differed in the 'intention-to-treat' sample, with the former group showing the best rate (62.5%, 48% and 45.4% respectively). ND-SUD had the second-best rate of abstinence (56.1%). Differences between groups were not observed among 'completers-only'. Self-report 7-day point prevalence abstinence is economical and reliable to be used in low to middle-income countries. In this study, it showed that the 6-week smoking cessation treatment had a positive effect among completers, which supports the importance of investing in treatment to decrease smoking prevalence in this population. [ABSTRACT FROM AUTHOR]

There is considerable evidence to suggest that individuals with mental illness as well as their carers and families are discriminated against across a number of domains. It is also well recognized that people with mental illness are likely to die younger than their counterparts who do not have mental illness. We propose that a Magna Carta is urgently needed to protect the rights of people with mental illness and help reduce discrimination. In this paper a background and rationale for this is offered alongside suggestions for reducing discrimination. The simple message is this; progress in health, economic, environmental and global development will not be made without improvements in mental health. The reasons are equally straightforward as mental illnesses cause more disability than any other health condition and bring enormous pain and suffering to individuals, their families and communities. These impacts lead to early death, damage to the economy and restrain individual progress. Every country needs to take urgent responsibility for defending the rights of individuals with mental illness. [ABSTRACT FROM AUTHOR]

The Compassion, Assertive action, Pragmatism and Evidence (CAPE) Vulnerability Index is a global foreign policy index which has been used to identify countries which require foreign aid and how that can be prioritized. The Index offers an evidenced, structured, and reasoned approach to using aid in bi-lateral agreements with mental health as a foundation. This study used 26 internationally available and validated indicators to explore and perform the analysis leading to the development of the Index. As with many summary statistics used to describe matters across the globe there has to be a fundamental reliance on national reporting or gathering of the underlying information used in their derivation, although their reliability may be in question and, in addition, such an exercise can be refined and repeated every year. It is concluded that the countries which score worse on the Index are likely to be failed states or fragile states: countries where the governments do not have complete control or authority. Such governments can often be repressive and corrupt, may participate in serious human rights abuses, and are characterized by conflict of various forms. These governments are also likely to suffer disadvantage as a result of extremes of climate changes, extreme poverty, inequality, social and ethnic divisions, the inability to provide basic services, and suffer from pockets of insurgency in the form of terrorism, which are often violent and brutal. [ABSTRACT FROM AUTHOR]

High levels of stress, burnout, and symptoms of poor mental health have been well known among practicing doctors for a number of years. Indeed, many health systems have formal and informal mechanisms to offer support and treatment where needed, though this varies tremendously across cultures. There is increasing evidence that current medical students, our doctors of the future, also report very high levels of distress, burnout, and substance misuse. We sampled large groups of medical students in 12 countries at the same time and with exactly the same method in order to aid direct comparison. 3766 students responded to our survey across five continents in what we believe is a global first. Our results show that students in all 12 countries report very high levels of 'caseness' on validated measures of psychiatric symptoms and burnout. Rates of substance misuse, often a cause of or coping mechanism for this distress, and identified sources of stress also varied across cultures. Variations are strongly influenced by cultural factors. Further quantitative and qualitative research is required to confirm our results and further delineate the causes for high rates of psychiatric symptoms and burnout. Studies should also focus on the implementation of strategies to safeguard and identify those most at risk. [ABSTRACT FROM AUTHOR]

The aim of this review is to present a brief historical perspective, the current status of psychiatric education in Brazil, discuss its role in Latin America, and its challenges ahead. The history of psychiatry in Brazil is intertwined with the history of medical assistance in Brazil. Psychiatric education in Brazil started in the asylum-centric era during the second half of the 19th century and evolved to occupy university teaching-hospital in the 20th century. The medical residency in psychiatry has shown considerable growth since its implementation 70 years ago. Undoubtedly, it currently occupies a prominent place in Brazilian medicine. However, there is a need to create and expand it in the less developed regions of the country. Brazilian psychiatric journals also have a leading position in developing evidence-based psychiatry in Latin America. [ABSTRACT FROM AUTHOR]

AbstractModern psychiatry aims to adopt precision models and promote personalized treatment within mental health care. However, the complexity of factors underpinning mental disorders and the variety of expressions of clinical conditions make this task arduous for clinicians. Globally, major depression is a common mental disorder and encompasses a constellation of clinical manifestations and a variety of etiological factors. In this context, the use of Artificial Intelligence might help clinicians in the screening and diagnosis of depression on a wider scale and could also facilitate their task in predicting disease outcomes by considering complex interactions between prodromal and clinical symptoms, neuroimaging data, genetics, or biomarkers. In this narrative review, we report on the most significant evidence from current international literature regarding the use of Artificial Intelligence in the diagnosis and treatment of major depression, specifically focusing on the use of Natural Language Processing, Chatbots, Machine Learning, and Deep Learning. [ABSTRACT FROM AUTHOR]