Natural Cannabis (NC) and Synthetic Cannabinoids (SCs) use can increase the risk of developing psychotic disorders and exacerbate their course. To examine the differences between psychoses not associated with cannabis use and those associated with NC and SCs use, evaluating psychotic symptoms, global functioning, dissociative symptoms and suicidal ideation. The sample of 61 patients with First Episode Psychosis (FEP) was divided into 3 groups: non-Cannabis users (non-users, N = 20); NC users (THC-users, N = 21); SCs users (SPICE-users, N = 20). Each group was assessed at FEP and after 3 and 9 months through specific psychopathological scales. THC-users, and even more SPICE-users, displayed much more severe positive symptoms than non-users. Negative symptoms were higher among non-users. After 9 months the non-users had recovered significantly better than SPICE-users in their global functioning. Dissociative symptoms were significantly greater in substance users. Finally, suicidal ideation was higher in SPICE-users than in both THC-users and non-users. The psychoses induced by NC and SCs showed different symptomatic pictures and outcomes from each other and when compared to the psychoses not associated with the use of substances; such knowledge could be relevant in identifying a specific drug treatment.

The association between cannabis use and positive symptoms in schizophrenia spectrum disorders is well documented, especially via meta-analyses. Yet, findings are inconsistent regarding negative symptoms, while other dimensions such as disorganization, depression, and excitement, have not been investigated. In addition, meta-analyses use aggregated data discarding important confounding variables which is a source of bias. PubMed, ScienceDirect and PsycINFO were used to search for publications from inception to September 27, 2022. We contacted the authors of relevant studies to extract raw datasets and perform an Individual Participant Data meta-analysis (IPDMA). Inclusion criteria were: psychopathology of individuals with schizophrenia spectrum disorders assessed by the Positive and Negative Syndrome Scale (PANSS); cannabis-users had to either have a diagnosis of cannabis use disorder or use cannabis at least twice a week. The main outcomes were the PANSS subscores extracted via the 3-factor (positive, negative and general) and 5-factor (positive, negative, disorganization, depression, excitement) structures. Preregistration is accessible via Prospero: ID CRD42022329172. Among the 1149 identified studies, 65 were eligible and 21 datasets were shared, totaling 3677 IPD and 3053 complete cases. The adjusted multivariate analysis revealed that relative to non-use, cannabis use was associated with higher severity of positive dimension (3-factor: Adjusted Mean Difference, aMD = 0.34, 95% Confidence Interval, CI = [0.03; 0.66]; 5-factor: aMD = 0.38, 95% CI = [0.08; 0.63]), lower severity of negative dimension (3-factor: aMD = −0.49, 95% CI [−0.90; −0.09]; 5-factor: aMD = −0.50, 95% CI = [−0.91; −0.08]), higher severity of excitement dimension (aMD = 0.16, 95% CI = [0.03; 0.28]). No association was found between cannabis use and disorganization (aMD = −0.13, 95% CI = [−0.42; 0.17]) or depression (aMD = −0.14, 95% CI = [−0.34; 0.06]). No causal relationship can be inferred from the current results. The findings could be in favor of both a detrimental and beneficial effect of cannabis on positive and negative symptoms, respectively. Longitudinal designs are needed to understand the role of cannabis is this association. The reported effect sizes are small and CIs are wide, the interpretation of findings should be taken with caution. This research did not receive any specific grant or funding. Primary financial support for authors was provided by Le Vinatier Psychiatric Hospital.

Background: The Duration of Untreated Psychosis (DUP) is the time between the first-episode psychosis (FEP) and the initiation of antipsychotic treatment. It is an important predictor of several disease-related outcomes in psychotic disorders. The aim of this manuscript is investigating the influence of cannabis on the DUP and its clinical correlates. Methods: During years 2014–2019, sixty-two FEP patients with and without cannabis use disorder (CUD) were recruited from several Italian psychiatric hospitals. The subjects were then divided into two groups based on the duration of the DUP and assessed at the beginning of the antipsychotic treatment and after 3 and 6 months, using the Positive and Negative Syndrome Scale (PANSS), the Global Assessment of Functioning (GAF) scale, and the Dissociative Experiences Scale (DES-II). Results: As expected, a longer DUP was associated with worse symptoms and cannabis use did not seem to affect the DUP, but both were related with more dissociative symptoms at onset and over time. Discussion: According to our study, cannabis use can be a predictor of FEP and DUP, and of disease outcome. However, several factors might influence the relationship between cannabis use and DUP. Preventing cannabis use and early diagnosis of psychotic disorders might impact the disease by reducing the persistence of symptoms and limiting dissociative experiences.

Background: Dual disorders (DDs) involve the coexistence of a substance use disorder (SUD) with another mental illness, often from the psychotic and affective categories. They are quite common in clinical practice and present significant challenges for both diagnosis and treatment. This study explores the effectiveness of brexpiprazole, a third-generation antipsychotic, in an Italian sample of individuals diagnosed with schizophrenia spectrum disorder and a comorbid SUD. Methods: Twenty-four patients, diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) and enrolled in several Italian hospitals, underwent a psychometric assessment at baseline (T0) and one month (T1) after starting brexpiprazole treatment administered at a mean dosage of 2 mg/day. Results: Brexpiprazole demonstrated significant reductions in psychopathological burden (Positive and Negative Syndrome Scale/PANSS total score: p < 0.001). Positive (p = 0.003) and negative (p = 0.028) symptoms, substance cravings (VAS craving: p = 0.039), and aggression (MOAS scale: p = 0.003) were notably reduced. Quality of life improved according to the 36-item Short Form Health Survey (SF-36) subscales (p < 0.005). Conclusions: This study provides initial evidence supporting brexpiprazole’s efficacy and safety in this complex patient population, with positive effects not only on psychopathology and quality of life, but also on cravings. Further studies involving larger cohorts of subjects and extended follow-up periods are needed.

Background: Over the last ten years, the video game industry has grown exponentially, involving about 2.5 billion young adults in the world. The estimated global prevalence of gaming addiction has been reported to be 3.5% ranging from 0.21% to 57.5% in the general population. Moreover, during the recent COVID-19 pandemic period, school closures and stay-at-home measures have also further increased the opportunities for prolonged and intensified playing of video games. Little is known about the relationship between IGD and psychosis, and the literature is still scarce. Some characteristics of patients with psychosis, particularly those with a first-episode psychosis (FEP), may suggest that these individuals would be particularly liable to develop IGD. Case presentation: We report two cases of young patients with to Internet gaming disorder, experiencing early onset psychosis treated with antipsychotic therapy. Conclusion: Although it is difficult to show the specific mechanisms underlying the psychopathological alterations in IGD, it is clear that excessive exposure to video games could be a risk factor for precipitating psychosis especially in a vulnerable age group such as adolescence. Clinicians should be aware of the possibility of a higher risk of psychotic onset associated specifically with gaming disorders in very young people.

The phenomenology of depression is characterized by a wide array of emotional, cognitive, and physical symptoms that significantly disrupt an individual's life. Societal changes, driven by technological advancements, economic pressures, environmental concerns including climate change, and shifting cultural norms, have influenced how depression manifests and is understood. These developments have led to the identification of new depression subtypes, highlighting the need for personalized treatment approaches based on individual symptoms and underlying causes. The authors provide a comprehensive narrative review of the literature on managing novel depression subtypes, focusing on both pharmacological and non-pharmacological treatments. Specifically, scenarios recorded were related to i) depression in adolescents and young adults; ii) depression and social disconnection; iii) depression and alcohol/substance use disorder; iv) depression and gender dysphoria; v) depression, stressful events, and other environmental factors. In the novel depression subtypes discussed, individualized treatment approaches tailored to the individual's specific circumstances are necessary. While selective serotonin reuptake inhibitors (SSRIs) and serotonin and noradrenaline reuptake inhibitors (SNRIs) remain the cornerstone of treatment for many forms of depression, atypical antidepressants such as trazodone, and emerging therapies like ketamine, neuromodulation techniques, and personalized psychotherapy offer hope for those with complex or treatment-resistant presentations.