(1) Background: The treatment of substance addiction is challenging and has persisted for decades, with only a few therapeutic options. Although there are some recommendations for specific treatments for Alcohol Use Disorder (AUD), there is no specific medication used to treat alcohol cravings, which could benefit millions of patients that are suffering from alcoholism. Cravings, or the urge to use drugs, refer to the desire to experience the effects of a previously experienced psychoactive substance. (2) Methods: We included original studies of alcohol abuse or dependence extracted from a controlled, blind, pharmacological treatment study which presented measures and outcomes related to alcohol cravings. (3) Results: Specific drugs used for the treatment of alcoholism, such as Naltrexone and Acamprosate, have had the best results in relieving craving symptoms, as well as promoting abstinence. Baclofen and anticonvulsants such as Gabapentin and Topiramate have shown good results in promoting abstinence and the cessation of cravings. (4) Conclusions: Specific drugs used for the treatment of alcoholism to obtain the best results can be considered the gold standard for promoting abstinence and relieving cravings. Anticonvulsants and Baclofen also had good results, with these medications being considered as second-line ones. Varenicline is an option for alcohol dependents who also concomitantly ingest tobacco.

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.

Cannabis is the most widely consumed illicit substance worldwide, with rising use particularly among adolescents and young adults. Accumulating evidence indicates that chronic cannabis use may negatively impact several domains of cognition, yet findings across studies remain varied and fragmented. This comprehensive review synthesizes current knowledge on the long-term cognitive consequences of cannabis use, focusing on attention, executive functioning, learning, memory, language, motor coordination, and social cognition. Consistent impairments have been observed in domains such as attention, executive function, memory, and learning; however, most evidence derives from studies of acute or residual effects. Evidence of long-lasting deficits after extended abstinence remains more limited and methodologically heterogeneous. Acute motor coordination deficits are well established, but persistent impairments in this domain lack conclusive evidence. Effects on language remain inconclusive, and findings regarding social cognition, though limited, suggest potential deficits in emotion recognition and mental state inference. Early onset and high-frequency use are critical risk factors for more severe and enduring cognitive effects. Some deficits may partially reverse with abstinence, although many persist long after cessation. Overall, cannabis use is associated with widespread and lasting cognitive impairments. These findings underscore the need for targeted prevention strategies, especially among youth, and point to future longitudinal and mechanistic research to better understand the nature, persistence, and potential reversibility of these cognitive effects.

Background: E-cigarettes, initially designed for nicotine consumption, are now increasingly being used to smoke cannabis, resulting in a growing trend known as “dual vaping”. This term describes individuals, referred to as “dual users”, who use e-cigarettes for both substances. This study aims to review and analyze existing research on dual vaping, with a focus on the associated health risks and behavioral patterns. Methods: A narrative review of the literature was conducted using PubMed. Studies focusing on individuals who use electronic cigarettes for vaping tobacco and cannabis, either chronically or episodically, were examined. Relevant articles were identified and thematically synthesized to provide a comprehensive overview of the topic. Results: Dual vaping was found to be prevalent among younger men, White and Hispanic populations, and individuals with higher economic status and educational level. The use of one substance was shown to predispose individuals to the use of the other, often leading to concurrent use of both substances. Peer influence and positive expectations regarding e-cigarettes were identified as significant predictors of dual use. Dual vapers exhibited a higher susceptibility to respiratory and systemic symptoms compared to those who exclusively vaped nicotine or cannabis. Moreover, a notable prevalence of psychiatric disorders, such as substance use disorders, anxiety, and depression, was observed in this group. Fruit-flavored e-cigarettes were the most preferred option among dual vapers when using both nicotine and cannabis. Conclusions: Current evidence is insufficient to fully elucidate the long-term impacts of dual vaping on physical and mental health, particularly when compared to individuals who have never vaped. Further studies are needed to gain a more comprehensive understanding of this behavior.

Background: Alcohol Use Disorder (AUD) is highly prevalent among substance use disorders worldwide and is characterized by a multifactorial pathophysiology. AUD treatment is mostly based on combined pharmacotherapy and multidisciplinary clinical approaches. Nonetheless, meta-analytical studies assessing the efficacy of combination therapy are scarcely available. Methods: We searched for randomized clinical trials through PubMed, ClinicalTrials.gov, Cochrane Library, SciELO, Biblioteca Virtual em Saúde, and Google Scholar databases. Original clinical trials published in English and Portuguese were selected. Data collection followed the PRISMA and MOOSE guidelines and was assessed using the Risk of Bias Tool (RoB 2). Heterogeneity was assessed using the Q test. Meta-regression was conducted using Egger’s regression method. Twelve articles were finally included in the analysis, and random-effects models were applied on aggregate trial results. Results: The meta-analysis found that combination therapies led to an average 4.045% increase in abstinence rates (95% CI: 0.415% to 7.675%) compared to monotherapies. Meta-regression showed a strong positive association between the use of naltrexone, acamprosate, and sertraline—either alone or in combination—and treatment success in AUD. The meta-regression also highlighted the impact of patients’ variables, such as gender, age, country, and psychiatric comorbidities, on their treatment outcomes. These findings may identify a potential therapeutic pathway promoting alcohol abstinence, further supported by a Number Needed to Treat (NNT) of 25, as an acceptable value for substance use disorder treatments. Conclusions: Combined pharmacotherapies are more effective than monotherapy in enhancing abstinence rates in AUD treatment, with naltrexone, acamprosate, and sertraline emerging as key adjunctive agents promoting these outcomes. These findings underscore the complexity of AUD as a multifactorial psychiatric condition and highlight the potential of combined pharmacotherapy as a promising strategy for achieving better treatment outcomes, particularly in terms of abstinence rates.

Major Depressive Disorder (MDD) and Cannabis Use Disorder (CUD) frequently co-occur, yet prevalence estimates vary widely across settings. This meta-analysis updates the evidence on the bidirectional association between MDD and CUD, emphasizing current-diagnosis subgroups, which are the most clinically relevant. Following PRISMA and MOOSE guidelines, we systematically searched PubMed, Google Scholar, and SciELO. Random-effects models estimated current-diagnosis prevalence of MDD among individuals with CUD and of CUD among individuals with MDD. Subgroup analyses differentiated psychiatric and community samples. Sensitivity analyses (leave-one-out) and Egger's tests assessed robustness and publication bias. Meta-regressions evaluated demographic, methodological, and geographic moderators. In total, 55 studies comprising 3,279,774 individuals were included (454,547 and 112,328 living with CUD and MDD, respectively). Current MDD prevalence among individuals with CUD was elevated in both psychiatric samples (19.24%) and community samples (21.65%), indicating consistent comorbidity across settings. Current CUD prevalence among individuals with MDD showed stronger contextual variation, being substantially higher in psychiatric populations (28.45%) compared with community samples (4.61%). Sensitivity analyses demonstrated stable estimates across model specifications, although psychiatric samples exhibited greater variance. Studies with older populations and using ICD-10 (compared to DSM) presented higher MDD prevalence among individuals living with CUD in meta-regression models. Egger's tests revealed no consistent evidence of publication bias. Current-diagnosis estimates highlight a strong and clinically meaningful bidirectional association between MDD and CUD. Differences between psychiatric and community samples-especially the markedly higher current CUD prevalence in patients with MDD-underscore the need for systematic screening across treatment settings. Future work should improve diagnostic differentiation, particularly regarding the overlap between depressive symptoms and cannabis withdrawal.