Drug dependence and prescribing ketamine for treatment-resistant depression in Australia and New Zealand.

Ketamine is a restricted and regulated medication in Australia and New Zealand, which has implications when considering treatment for patients with treatment-resistant depression and a history of illicit drug use, abuse or dependence. Regulations governing prescription of ketamine for treatment-resistant depression vary between jurisdictions in Australia and New Zealand, though most restrict use in those with drug dependence. There is substantial variation in definitions of drug dependence used in each jurisdiction, and between the legal and clinical definitions, with the latter specified in the current International Classification of Diseases, Eleventh Revision and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. This paper reviews the literature assessing the risk of ketamine misuse and dependence in patients with a history of illicit drug use, abuse or dependence and presents recommendations for psychiatrists who prescribe ketamine in such patients with treatment-resistant depression.

Cryptocurrency trading and its associations with gambling and mental health: A scoping review.

BACKGROUND AND AIMS: The volatile and 24/7 nature of the cryptocurrency market allows traders to engage in speculative trading patterns closely resembling gambling. Its potential for harm and financial loss warrant investigation from a public health perspective. Therefore, we summarized the emerging literature on cryptocurrency trading and its link to problematic gambling and other mental health outcomes such as depression and anxiety. We also examined demographic or psychological factors associated with cryptocurrency trading. METHODS: We searched PubMed, Scopus, and Embase for published, original studies investigating associations with cryptocurrency trading behavior. We also conducted supplementary searches using Google Scholar. RESULTS: Eight papers were included after eligibility screening. Our scoping review revealed associations between problem gambling symptoms and cryptocurrency trading engagement and intensity. Furthermore, we found cryptocurrency traders share similar demographic and personality characteristics with share-traders and problem gamblers. Studies on cryptocurrency trading and mental health produced mixed results. DISCUSSIONS AND CONCLUSIONS: Our scoping review indicates a likely relationship between problem gambling and cryptocurrency trading. Findings also suggest overlap with high-risk stock traders, with similarities in gambling behaviors, demographics, and personality traits. These findings justify further research into problem cryptocurrency trading behaviors and their potential for harm, especially concerning mental health. To assess what behaviors are problematic, future research should also look to explore differences between long-term investors and short-term traders of cryptocurrency.

Does Drinking Culture Induce Problematic Alcohol Use? Evidence From a Military Representative Survey in Korea.

OBJECTIVE: To examine the relationship between problematic alcohol use and contributing factors among Korean professional soldiers. METHODS: Cross-sectional data of 2,646 participants collected by 2014 military-wide representative health survey was analyzed. Multivariate logistic models were used to identify contributing factors for problematic alcohol use. Problematic alcohol use was defined by the Alcohol Use Disorders Identification Test (AUDIT) questionnaire as hazardous (8≤ AUDIT <16) or harmful (AUDIT ≥16). Tolerant drinking culture was measured by the Drinking Culture Questionnaire. RESULTS: Hazardous alcohol use was found in 56.9% of men and 46.8% of women and harmful use in a further 16.2% of men and 5.4% of women. In univariate analyses, perceived health status, subjective sleep quality, depression, and drinking culture were related to the outcome variable. In multivariate models controlling covariates, the likelihood of problematic alcohol use was significantly increased by man gender, being single, current/past smoking, and tolerant/permissive drinking culture. In those with harmful alcohol consumption, tolerant drinking culture was a particularly powerful influence. CONCLUSION: A substantial proportion of Korean professional soldiers demonstrated problematic alcohol use. Tolerant drinking culture was shown to have a significant influence on problematic alcohol use in the military. Our findings underscore the need for public health policies that address this drinking culture to mitigate negative health consequences and preserve the forces' combat readiness.

Gaming disorder and the COVID-19 pandemic: Treatment demand and service delivery challenges.

Gaming activities have conferred numerous benefits during the COVID-19 pandemic. However, some individuals may be at greater risk of problem gaming due to disruption to adaptive routines, increased anxiety and/or depression, and social isolation. This paper presents a summary of 2019-2021 service data from specialist addiction centers in Germany, Switzerland, Japan, and the United Kingdom. Treatment demand for gaming disorder has exceeded service capacity during the pandemic, with significant service access issues. These data highlight the need for adaptability of gaming disorder services and greater resources and funding to respond effectively in future public health crises.

Validation of the AUDIT and AUDIT-C for Hazardous Drinking in Community-Dwelling Older Adults.

BACKGROUND: One of the best-known tools in screening for hazardous drinking is the Alcohol Use Disorders Identification Test (AUDIT) and its abbreviated form, the AUDIT-C. The aim of the present study is to determine the cut-offs of both instruments in identifying hazardous drinking in older adults. METHOD: A sample of 1577 older adults completed a questionnaire regarding alcohol behavior. Hazardous drinking was defined as drinking >10 units/week. Receiver operating characteristics (ROC) curves of AUDIT and AUDIT-C were calculated and cut-off scores were derived. RESULTS: Respectively 27.3% and 12.3% of older men and women drank >10 units/week. For the AUDIT the best trade-off between sensitivity and specificity was using a cut-off of ≥5 for men and ≥4 for women, which yielded in men sensitivity and specificity values respectively of 80.7% and 81.3% and in women 100% and 71.7%, respectively. We found the AUDIT-C to perform well with an optimal cut-off of ≥5 for men and ≥4 for women, which generated in men sensitivity and specificity values respectively of 76.5% and 85.3% and in women 100% and 74.1%, respectively. CONCLUSION: The AUDIT-C is accurate and sufficient in screening for hazardous drinking in community-dwelling older adults if the cut-offs are tailored by gender.

Development and validation of a nine-item short screening test for ICD-11 gaming disorder (GAMES test) and estimation of the prevalence in the general young population.

BACKGROUND AND AIMS: A definition of gaming disorder (GD) was introduced in ICD-11. The purpose of this study was to develop a short screening test for GD, utilizing a reference GD group. It also sought to estimate the prevalence of GD among individuals, representative of the general young population in Japan. METHODS: Two hundred eighty one men and women selected from the general population, aged between 10 and 29 years, and 44 treatment seekers at our center completed a self-reported questionnaire comprising candidate questions for the screening test. The reference group with ICD-11 GD was established, based on face-to-face interviews with behavioral addiction experts, using a diagnostic interview instrument. The questions in the screening test were selected to best differentiate those who had GD from those who did not, and the cutoff value was determined using the Youden index. RESULTS: A nine-item screening test (GAMES test) was developed. The sensitivity and specificity of the test were both 98% and the positive predictive value in the study sample was 91%. The GAMES test comprised two factors, showed high internal consistency and was highly reproducible. The estimated prevalence of GD among the general young population was 7.6% (95% confidence interval; 6.6-8.7%) for males and 2.5% (1.9-3.2%) for females, with a combined prevalence of 5.1% (4.5-5.8%). DISCUSSION AND CONCLUSION: The GAMES test shows high validity and reliability for screening of ICD-11 GD. The estimated prevalence of 5.1% among the general young population was comparable to the pooled estimates of young people globally.

Non-adherence to preventive behaviours during the COVID-19 epidemic: findings from a community study.

BACKGROUNDS: Preventive behaviours are an essential way to slow down and eliminate the transmission of SARS-CoV-2. The aim of this study was to estimate adherence to preventive behaviors and to identify whether any subgroups were not adopting these behaviours and for whom greater engagement in these approaches was indicated. METHODS: In this cross-sectional study, we obtained data from a random sample of a panel representing men and women of adult age residing in Hungary (N = 5254). The survey included questions about the frequencies of preventive behaviours, perceived susceptibility and severity of COVID-19. RESULTS: We found four factors of preventive behaviours: using physical barriers (mask and gloves), avoidance of close contacts, personal hygiene, and preparation. We identified two broadly adherent groups (36.8 and 45.3%) and two non-adherent groups (13.1 and 4.8%). Being male and being aged between 18 and 29 years were the strongest predictors of non-adherence. Concern about the severity of COVID-19 was a predictor of adherence. CONCLUSIONS: To ensure maximal adherence to preventive behaviours for COVID-19, additional strategies should focus on their adoption by men and young adults.

Expert appraisal of criteria for assessing gaming disorder: an international Delphi study.

BACKGROUND AND AIMS: Following the recognition of 'internet gaming disorder' (IGD) as a condition requiring further study by the DSM-5, 'gaming disorder' (GD) was officially included as a diagnostic entity by the World Health Organization (WHO) in the 11th revision of the International Classification of Diseases (ICD-11). However, the proposed diagnostic criteria for gaming disorder remain the subject of debate, and there has been no systematic attempt to integrate the views of different groups of experts. To achieve a more systematic agreement on this new disorder, this study employed the Delphi expert consensus method to obtain expert agreement on the diagnostic validity, clinical utility and prognostic value of the DSM-5 criteria and ICD-11 clinical guidelines for GD. METHODS: A total of 29 international experts with clinical and/or research experience in GD completed three iterative rounds of a Delphi survey. Experts rated proposed criteria in progressive rounds until a pre-determined level of agreement was achieved. RESULTS: For DSM-5 IGD criteria, there was an agreement both that a subset had high diagnostic validity, clinical utility and prognostic value and that some (e.g. tolerance, deception) had low diagnostic validity, clinical utility and prognostic value. Crucially, some DSM-5 criteria (e.g. escapism/mood regulation, tolerance) were regarded as incapable of distinguishing between problematic and non-problematic gaming. In contrast, ICD-11 diagnostic guidelines for GD (except for the criterion relating to diminished non-gaming interests) were judged as presenting high diagnostic validity, clinical utility and prognostic value. CONCLUSIONS: This Delphi survey provides a foundation for identifying the most diagnostically valid and clinically useful criteria for GD. There was expert agreement that some DSM-5 criteria were not clinically relevant and may pathologize non-problematic patterns of gaming, whereas ICD-11 diagnostic guidelines are likely to diagnose GD adequately and avoid pathologizing.

An organization- and category-level comparison of diagnostic requirements for mental disorders in ICD-11 and DSM-5.

In 2013, the American Psychiatric Association (APA) published the 5th edition of its Diagnostic and Statistical Manual of Mental Disorders (DSM-5). In 2019, the World Health Assembly approved the 11th revision of the International Classification of Diseases (ICD-11). It has often been suggested that the field would benefit from a single, unified classification of mental disorders, although the priorities and constituencies of the two sponsoring organizations are quite different. During the development of the ICD-11 and DSM-5, the World Health Organization (WHO) and the APA made efforts toward harmonizing the two systems, including the appointment of an ICD-DSM Harmonization Group. This paper evaluates the success of these harmonization efforts and provides a guide for practitioners, researchers and policy makers describing the differences between the two systems at both the organizational and the disorder level. The organization of the two classifications of mental disorders is substantially similar. There are nineteen ICD-11 disorder categories that do not appear in DSM-5, and seven DSM-5 disorder categories that do not appear in the ICD-11. We compared the Essential Features section of the ICD-11 Clinical Descriptions and Diagnostic Guidelines (CDDG) with the DSM-5 criteria sets for 103 diagnostic entities that appear in both systems. We rated 20 disorders (19.4%) as having major differences, 42 disorders (40.8%) as having minor definitional differences, 10 disorders (9.7%) as having minor differences due to greater degree of specification in DSM-5, and 31 disorders (30.1%) as essentially identical. Detailed descriptions of the major differences and some of the most important minor differences, with their rationale and related evidence, are provided. The ICD and DSM are now closer than at any time since the ICD-8 and DSM-II. Differences are largely based on the differing priorities and uses of the two diagnostic systems and on differing interpretations of the evidence. Substantively divergent approaches allow for empirical comparisons of validity and utility and can contribute to advances in the field.

Direction of the relationship between methamphetamine use and positive psychotic symptoms in regular methamphetamine users: evidence from a prospective cohort study.

BACKGROUND: Methamphetamine has been consistently associated with positive psychotic symptoms, but little is known about whether the reverse also occurs. AIMS: This study determined whether the relationship between methamphetamine use and positive psychotic symptoms is bidirectional over 12 months. The impact of lifetime psychotic disorders and methamphetamine dependence on these relationships was also examined. METHOD: A total of 201 regular (at least monthly) primary methamphetamine users were recruited from free needle and syringe programmes in three Australian cities. Data on the frequency of methamphetamine and other drug use (from Timeline Followback inteviews) and the severity of positive psychotic symptoms (using the Brief Psychiatric Rating Scale) in the past 2 weeks were collected in 12 contiguous monthly face-to-face interviews (mean of 9.14/11 (s.d. = 3.16) follow-ups completed). Diagnoses were derived using the Psychiatric Research Interview for DSM-IV Substance and Mental Disorders. RESULTS: The mean age of participants was 31.71 years (s.d. = 8.19) and 39% (n = 77) were women. At baseline 55% (n = 110) were dependent on methamphetamine and 51% (n = 102) had a lifetime psychotic disorder. Cross-lagged dynamic panel models found a significant bidirectional relationship between psychotic symptoms and methamphetamine use (Comparative Fit Index (CFI) = 0.94, standardised root mean square residual (SRMR) = 0.05, root mean square error of approximation (RMSEA) = 0.05, 95% CI 0.04-0.06). The magnitude of the relationship in each direction was similar, and the presence of methamphetamine dependence or a lifetime psychotic disorder did not have an impact on results. CONCLUSIONS: A dynamic, bidirectional relationship between methamphetamine and psychotic symptoms of similar magnitude in each direction was found over 1 year. This suggests integrated treatments that target methamphetamine, psychotic symptoms and their interrelationship may be of most benefit.

The essential role of theory in minimizing harm from emerging technologies. Lost in committee?. •.

A coherent framework for addressing risk arising from new technologies is needed. In proposing a framework of broad application and future focus, where empirical evidence is scarce, reliance on strong theory becomes all the more important. Some technologies are more prone to excessive engagement than others (i.e. more addictive). Some users are also more susceptible to excessive engagement than others. Impulsivity theory emphasises the importance of reinforcement magnitude in determining the risk associated with a new technology, and that an individual's sensitivity to reinforcement (reward drive) and capacity to inhibit previously reinforced behaviour (rash impulsiveness) determines their susceptibility to problematic engagement. Online gaming provides a good example of how such theory can be applied to facilitate intervention efforts and develop policy.

Preventing problematic internet use during the COVID-19 pandemic: Consensus guidance.

As a response to the COVID-19 pandemic, many governments have introduced steps such as spatial distancing and "staying at home" to curb its spread and impact. The fear resulting from the disease, the 'lockdown' situation, high levels of uncertainty regarding the future, and financial insecurity raise the level of stress, anxiety, and depression experienced by people all around the world. Psychoactive substances and other reinforcing behaviors (e.g., gambling, video gaming, watching pornography) are often used to reduce stress and anxiety and/or to alleviate depressed mood. The tendency to use such substances and engage in such behaviors in an excessive manner as putative coping strategies in crises like the COVID-19 pandemic is considerable. Moreover, the importance of information and communications technology (ICT) is even higher in the present crisis than usual. ICT has been crucial in keeping parts of the economy going, allowing large groups of people to work and study from home, enhancing social connectedness, providing greatly needed entertainment, etc. Although for the vast majority ICT use is adaptive and should not be pathologized, a subgroup of vulnerable individuals are at risk of developing problematic usage patterns. The present consensus guidance discusses these risks and makes some practical recommendations that may help diminish them.

Alcohol Use Disorders Identification Test (AUDIT): Validation of the Persian version in an Iranian population.

BACKGROUND AND AIMS: It is important to incorporate a screening test for unhealthy alcohol use into primary and other health care settings. The Alcohol Use Disorders Identification Test (AUDIT) is one of the most commonly used of such tests. The objectives of this study were to evaluate the psychometric properties of the Persian version of AUDIT, and to determine the best cut-off points for detection of hazardous drinking and alcohol use disorders. METHODS: We translated the AUDIT to Persian and assessed its face and content validity, reliability, and criterion validity against the diagnosis of alcohol use disorders according to the International Classification of Diseases, 10th Revision (ICD-10) diagnostic guidelines, as assessed using the Composite International Diagnostic Interview (CIDI). We determined the best cut-off points for detection of hazardous use, harmful use, and dependence using receiver operating characteristic (ROC) curve analysis. Psychometric properties were assessed in a sample of 400 participants attending medium-term residential drug treatment centers located in Tehran, Iran. RESULTS: The Persian AUDIT had high internal consistency (Cronbach's alpha = 0.88) and test-retest reliability (intraclass correlation coefficient = 0.84). The questionnaire also had excellent face and content validity as well as criterion validity when compared with CIDI. The best cut-off points for alcohol dependence, harmful use, and hazardous use were 11 (sensitivity = 95.6, specificity = 80.4), 7 (sensitivity = 85.5, specificity = 84.2), and 5 (sensitivity = 87.6, specificity = 92.9), respectively. CONCLUSIONS: The Persian version of the AUDIT has excellent psychometric properties as a screening tool for alcohol use disorders and hazardous alcohol use in settings in which alcohol use is common. Further research on the AUDIT in the general population and in primary health care settings is warranted.

Alcohol Use Disorders in ICD-11: Past, Present, and Future.

The Eleventh Revision of the International Classification of Diseases (ICD-11) was formally published in May 2019. Alcohol use disorders form a key part of the section of Disorders due to Substance Use and Addictive Behaviours. This review describes and discusses the alcohol diagnoses within this section of ICD-11, including Alcohol Dependence, Harmful Pattern of Use of Alcohol, and entities such as Alcohol Intoxication, Alcohol Withdrawal, and several alcohol-induced mental disorders, and briefly covers Hazardous Alcohol Use, which is listed separately as a health risk factor. We summarize the historical background to the development of these diagnoses, including work within the World Health Organization since the 1970s, and the corresponding diagnoses in the current ICD-10. The process by which ICD-11 diagnoses have been made is described and may be summarized as a conceptual-pragmatic-confirmatory one. The available empirical data supporting the ICD-11 diagnoses are presented, particularly in relation to the diagnostic guidelines for Alcohol Dependence. Comparison is made with the corresponding diagnoses in ICD-10 and their nearest counterparts in the fourth and fifth editions of the Diagnostic and Statistical Manual of Mental Disorders. Field testing of the ICD-11 diagnoses is currently in progress. A plea is made for matching of diagnoses, diagnostic guidelines/criteria, and the assessment tools intended to capture these diagnoses.

Innovations and changes in the ICD-11 classification of mental, behavioural and neurodevelopmental disorders.

Following approval of the ICD-11 by the World Health Assembly in May 2019, World Health Organization (WHO) member states will transition from the ICD-10 to the ICD-11, with reporting of health statistics based on the new system to begin on January 1, 2022. The WHO Department of Mental Health and Substance Abuse will publish Clinical Descriptions and Diagnostic Guidelines (CDDG) for ICD-11 Mental, Behavioural and Neurodevelopmental Disorders following ICD-11's approval. The development of the ICD-11 CDDG over the past decade, based on the principles of clinical utility and global applicability, has been the most broadly international, multilingual, multidisciplinary and participative revision process ever implemented for a classification of mental disorders. Innovations in the ICD-11 include the provision of consistent and systematically characterized information, the adoption of a lifespan approach, and culture-related guidance for each disorder. Dimensional approaches have been incorporated into the classification, particularly for personality disorders and primary psychotic disorders, in ways that are consistent with current evidence, are more compatible with recovery-based approaches, eliminate artificial comorbidity, and more effectively capture changes over time. Here we describe major changes to the structure of the ICD-11 classification of mental disorders as compared to the ICD-10, and the development of two new ICD-11 chapters relevant to mental health practice. We illustrate a set of new categories that have been added to the ICD-11 and present the rationale for their inclusion. Finally, we provide a description of the important changes that have been made in each ICD-11 disorder grouping. This information is intended to be useful for both clinicians and researchers in orienting themselves to the ICD-11 and in preparing for implementation in their own professional contexts.

Prevalence of comorbid substance use in schizophrenia spectrum disorders in community and clinical settings, 1990-2017: Systematic review and meta-analysis.

BACKGROUND: Comorbidity is highly prevalent between substance use disorders (SUDs) and schizophrenia. This systematic review and meta-analysis estimated prevalence rates of SUDs in epidemiological and treatment-seeking patients diagnosed with schizophrenia or first episode psychosis. METHODS: A literature search of Medline, EMBASE, PsycINFO and CINAHL databases was conducted from 1990 to 2017 inclusive. Prevalence of co-morbid SUDs and schizophrenia were extracted and odds ratios (ORs) were calculated using random effects meta-analysis. Combining like studies was dictated how authors reported substance use. RESULTS: There were 123 included articles with a total sample size of 165,811 subjects that yielded six epidemiological studies, 11 national or state case-registry studies, 20 large cohort studies and 86 clinical studies using in- or out-patient samples. The prevalence of any SUD was 41.7%, followed by illicit drugs (27.5%), cannabis (26.2%), alcohol (24.3%) and stimulant use (7.3%). Meta-analysis showed the pooled variance of any SUD in males was 48% which was significantly higher than that for females with schizophrenia (22.1%, OR 3.43, 95% CI 3.01, 3.92). Patients with SUD had an earlier age of onset of schizophrenia. Meta-regression showed prevalence increased over time for illicit drugs but not for other substances, including alcohol. CONCLUSIONS: The meta-analysis revealed that SUDs in schizophrenia is highly prevalent and rates have not changed over time. This indicates SUD are difficult to treat in this patient population and there is an urgent need for more informative studies to help develop better prevention, detection and treatment of SUDs in persons with schizophrenia and co-morbid disorders.

Effect of electronic screening and brief intervention on hazardous or harmful drinking among adults in the hospital outpatient setting: A randomized, double-blind, controlled trial.

BACKGROUND: Most trials of electronic alcohol screening and brief intervention (e-SBI) have been conducted in young people. The aim of this study was to evaluate the effect of e-SBI in adults with hazardous or harmful drinking. METHODS: This individually randomized, parallel, two-group, double-blind controlled trial was conducted in the outpatient department of a large public hospital in Australia. Consenting adults who scored 5-9 on the AUDIT-C (837/3225; 26%) were randomized in a 1:1 ratio by computer to screening alone (442/837; 53%) or to 10 min of assessment and personalized feedback on their alcohol consumption (comparisons with medical guidelines and age and sex-specific norms), peak blood alcohol concentration, expenditure on alcohol, and risk of alcohol dependence (395/837; 47%). The two primary outcomes, assessed six months after randomization, were the number of standard drinks (10 g ethanol) consumed by participants in the last seven days and their AUDIT score. RESULTS: 693/837 (83%) and 635/837 (76%) participants were followed-up at 6 and 12 months, respectively. There was no statistically significant difference between the groups in the median number of standard drinks consumed in the last seven days (intervention: 12; control: 10.5; rate ratio, 1.12 [95% confidence interval, 0.96-1.31]; P = .17) or in their median AUDIT score (intervention: 7; control: 7; mean difference, 0.28 [-0.42 to 0.98]; P = .44). CONCLUSION: These results do not support the implementation of an e-SBI program comprising personalized feedback and normative feedback for adults with hazardous or harmful drinking in the hospital outpatient setting.

Including gaming disorder in the ICD-11: The need to do so from a clinical and public health perspective.

The proposed introduction of gaming disorder (GD) in the 11th revision of the International Classification of Diseases (ICD-11) developed by the World Health Organization (WHO) has led to a lively debate over the past year. Besides the broad support for the decision in the academic press, a recent publication by van Rooij et al. (2018) repeated the criticism raised against the inclusion of GD in ICD-11 by Aarseth et al. (2017). We argue that this group of researchers fails to recognize the clinical and public health considerations, which support the WHO perspective. It is important to recognize a range of biases that may influence this debate; in particular, the gaming industry may wish to diminish its responsibility by claiming that GD is not a public health problem, a position which maybe supported by arguments from scholars based in media psychology, computer games research, communication science, and related disciplines. However, just as with any other disease or disorder in the ICD-11, the decision whether or not to include GD is based on clinical evidence and public health needs. Therefore, we reiterate our conclusion that including GD reflects the essence of the ICD and will facilitate treatment and prevention for those who need it.