A framework for a brain-derived nosology of psychiatric disorders.

Current psychiatric diagnoses are not defined by neurobiological measures which hinders the development of therapies targeting mechanisms underlying mental illness 1,2 . Research confined to diagnostic boundaries yields heterogeneous biological results, whereas transdiagnostic studies often investigate individual symptoms in isolation. There is currently no paradigm available to comprehensively investigate the relationship between different clinical symptoms, individual disorders, and the underlying neurobiological mechanisms. Here, we propose a framework that groups clinical symptoms derived from ICD-10/DSM-V according to shared brain mechanisms defined by brain structure, function, and connectivity. The reassembly of existing ICD-10/DSM-5 symptoms reveal six cross-diagnostic psychopathology scores related to mania symptoms, depressive symptoms, anxiety symptoms, stress symptoms, eating pathology, and fear symptoms. They were consistently associated with multimodal neuroimaging components in the training sample of young adults aged 23, the independent test sample aged 23, participants aged 14 and 19 years, and in psychiatric patients. The identification of symptom groups of mental illness robustly defined by precisely characterized brain mechanisms enables the development of a psychiatric nosology based upon quantifiable neurobiological measures. As the identified symptom groups align well with existing diagnostic categories, our framework is directly applicable to clinical research and patient care.

Psychosocial and medication interventions to stop or reduce alcohol consumption during pregnancy.

BACKGROUND: Despite the known harms, alcohol consumption is common in pregnancy. Rates vary between countries, and are estimated to be 10% globally, with up to 25% in Europe. OBJECTIVES: To assess the efficacy of psychosocial interventions and medications to reduce or stop alcohol consumption during pregnancy. SEARCH METHODS: We searched the Cochrane Drugs and Alcohol Group Specialised Register (via CRSLive), Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, CINAHL, Web of Science, and PsycINFO, from inception to 8 January 2024. We also searched for ongoing and unpublished studies via ClinicalTrials.gov and the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP). All searches included non-English language literature. We handsearched references of topic-related systematic reviews and included studies. SELECTION CRITERIA: We included randomised controlled trials that compared medications or psychosocial interventions, or both, to placebo, no intervention, usual care, or other medications or psychosocial interventions used to reduce or stop alcohol use during pregnancy. Our primary outcomes of interest were abstinence from alcohol, reduction in alcohol consumption, retention in treatment, and women with any adverse event. DATA COLLECTION AND ANALYSIS: We used standard Cochrane methodological procedures. MAIN RESULTS: We included eight studies (1369 participants) in which pregnant women received an intervention to stop or reduce alcohol use during pregnancy. In one study, almost half of participants had a current diagnosis of alcohol use disorder (AUD); in another study, 40% of participants had a lifetime diagnosis of AUD. Six studies took place in the USA, one in Spain, and one in the Netherlands. All included studies evaluated the efficacy of psychosocial interventions; we did not find any study that evaluated the efficacy of medications for the treatment of AUD during pregnancy. Psychosocial interventions were mainly brief interventions ranging from a single session of 10 to 60 minutes to five sessions of 10 minutes each. Pregnant women received the psychosocial intervention approximately at the end of the first trimester of pregnancy, and the outcome of alcohol use was reassessed 8 to 24 weeks after the psychosocial intervention. Women in the control group received treatment as usual (TAU) or similar treatments such as comprehensive assessment of alcohol use and advice to stop drinking during pregnancy. Globally, we found that, compared to TAU, psychosocial interventions may increase the rate of continuously abstinent participants (risk ratio (RR) 1.34, 95% confidence interval (CI) 1.14 to 1.57; I2 =0%; 3 studies; 378 women; low certainty evidence). Psychosocial interventions may have little to no effect on the number of drinks per day, but the evidence is very uncertain (mean difference -0.42, 95% CI -1.13 to 0.28; I2 = 86%; 2 studies; 157 women; very low certainty evidence). Psychosocial interventions probably have little to no effect on the number of women who completed treatment (RR 0.98, 95% CI 0.94 to 1.02; I2 = 0%; 7 studies; 1283 women; moderate certainty evidence). None of the included studies assessed adverse events of treatments. We downgraded the certainty of the evidence due to risk of bias and imprecision of the estimates. AUTHORS' CONCLUSIONS: Brief psychosocial interventions may increase the rate of continuous abstinence among pregnant women who report alcohol use during pregnancy. Further studies should be conducted to investigate the efficacy and safety of psychosocial interventions and other treatments (e.g. medications) for women with AUD. These studies should provide detailed information on alcohol use before and during pregnancy using consistent measures such as the number of drinks per drinking day. When heterogeneous populations are recruited, more detailed information on alcohol use during pregnancy should be provided to allow future systematic reviews to be conducted. Other important information that would enhance the usefulness of these studies would be the presence of other comorbid conditions such as anxiety, mood disorders, and the use of other psychoactive substances.

Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder.

This study uses machine learning models to uncover diagnostic and risk prediction markers for eating disorders (EDs), major depressive disorder (MDD), and alcohol use disorder (AUD). Utilizing case-control samples (ages 18-25 years) and a longitudinal population-based sample (n=1,851), the models, incorporating diverse data domains, achieved high accuracy in classifying EDs, MDD, and AUD from healthy controls. The area under the receiver operating characteristic curves (AUC-ROC [95% CI]) reached 0.92 [0.86-0.97] for AN and 0.91 [0.85-0.96] for BN, without relying on body mass index as a predictor. The classification accuracies for MDD (0.91 [0.88-0.94]) and AUD (0.80 [0.74-0.85]) were also high. Each data domain emerged as accurate classifiers individually, with personality distinguishing AN, BN, and their controls with AUC-ROCs ranging from 0.77 to 0.89. The models demonstrated high transdiagnostic potential, as those trained for EDs were also accurate in classifying AUD and MDD from healthy controls, and vice versa (AUC-ROCs, 0.75-0.93). Shared predictors, such as neuroticism, hopelessness, and symptoms of attention-deficit/hyperactivity disorder, were identified as reliable classifiers. For risk prediction in the longitudinal population sample, the models exhibited moderate performance (AUC-ROCs, 0.64-0.71), highlighting the potential of combining multi-domain data for precise diagnostic and risk prediction applications in psychiatry.

Placebo effects in mental health disorders: protocol for an umbrella review.

INTRODUCTION: Given the high prevalence of mental health disorders and their significant socioeconomic burden, there is a need to develop improved treatments, and to evaluate them through placebo-controlled trials. However, the magnitude of the placebo response in randomised controlled trials to test medications may be substantial, affecting their interpretation. Therefore, improved understanding of the patient, trial and mental disorder factors that influence placebo responses would inform clinical trial design to better detect active treatment effects. There is a growing literature exploring the placebo response within specific mental health disorders, but no overarching synthesis of this research has been produced to date. We present a protocol for an umbrella review of systematic reviews and/or meta-analyses in which we aim to understand the effect size and potential predictors of placebo response within, and across, mental health disorders. METHODS AND ANALYSIS: We will systematically search databases (Medline, PsycINFO, EMBASE+EMBASE Classic, Web of Knowledge) for systematic reviews and/or meta-analyses that report placebo effect size in clinical trials in patients with mental health disorders (initial search date 23 October 2022). Screening of abstracts and full texts will be done in pairs. We will extract data to qualitatively examine how placebo effect size varies across mental health disorders. We also plan to qualitatively summarise predictors of increased placebo response identified either quantitatively (eg, through meta-regression) or qualitatively. Risk of bias will be assessed using the AMSTAR-2 tool. We aim to not only summarise the current literature but also to identify gaps in knowledge and generate further hypotheses. ETHICS AND DISSEMINATION: We do not believe there are any specific ethical considerations relevant to this study. We will publish the results in a peer-reviewed journal.

Differing impact of the COVID-19 pandemic on youth mental health: combined population and clinical study.

BACKGROUND: Identifying youths most at risk to COVID-19-related mental illness is essential for the development of effective targeted interventions. AIMS: To compare trajectories of mental health throughout the pandemic in youth with and without prior mental illness and identify those most at risk of COVID-19-related mental illness. METHOD: Data were collected from individuals aged 18-26 years (N = 669) from two existing cohorts: IMAGEN, a population-based cohort; and ESTRA/STRATIFY, clinical cohorts of individuals with pre-existing diagnoses of mental disorders. Repeated COVID-19 surveys and standardised mental health assessments were used to compare trajectories of mental health symptoms from before the pandemic through to the second lockdown. RESULTS: Mental health trajectories differed significantly between cohorts. In the population cohort, depression and eating disorder symptoms increased by 33.9% (95% CI 31.78-36.57) and 15.6% (95% CI 15.39-15.68) during the pandemic, respectively. By contrast, these remained high over time in the clinical cohort. Conversely, trajectories of alcohol misuse were similar in both cohorts, decreasing continuously (a 15.2% decrease) during the pandemic. Pre-pandemic symptom severity predicted the observed mental health trajectories in the population cohort. Surprisingly, being relatively healthy predicted increases in depression and eating disorder symptoms and in body mass index. By contrast, those initially at higher risk for depression or eating disorders reported a lasting decrease. CONCLUSIONS: Healthier young people may be at greater risk of developing depressive or eating disorder symptoms during the COVID-19 pandemic. Targeted mental health interventions considering prior diagnostic risk may be warranted to help young people cope with the challenges of psychosocial stress and reduce the associated healthcare burden.

Adjunctive Medication Management and Contingency Management to enhance adherence to acamprosate for alcohol dependence: the ADAM trial RCT.

Background: Acamprosate is an effective and cost-effective medication for alcohol relapse prevention but poor adherence can limit its full benefit. Effective interventions to support adherence to acamprosate are therefore needed. Objectives: To determine the effectiveness of Medication Management, with and without Contingency Management, compared to Standard Support alone in enhancing adherence to acamprosate and the impact of adherence to acamprosate on abstinence and reduced alcohol consumption. Design: Multicentre, three-arm, parallel-group, randomised controlled clinical trial. Setting: Specialist alcohol treatment services in five regions of England (South East London, Central and North West London, Wessex, Yorkshire and Humber and West Midlands). Participants: Adults (aged 18 years or more), an International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, diagnosis of alcohol dependence, abstinent from alcohol at baseline assessment, in receipt of a prescription for acamprosate. Interventions: (1) Standard Support, (2) Standard Support with adjunctive Medication Management provided by pharmacists via a clinical contact centre (12 sessions over 6 months), (3) Standard Support with adjunctive Medication Management plus Contingency Management that consisted of vouchers (up to £120) to reinforce participation in Medication Management. Consenting participants were randomised in a 2 : 1 : 1 ratio to one of the three groups using a stratified random permuted block method using a remote system. Participants and researchers were not blind to treatment allocation. Main outcome measures: Primary outcome: self-reported percentage of medication taken in the previous 28 days at 6 months post randomisation. Economic outcome: EuroQol-5 Dimensions, a five-level version, used to calculate quality-adjusted life-years, with costs estimated using the Adult Service Use Schedule. Results: Of the 1459 potential participants approached, 1019 (70%) were assessed and 739 (73 consented to participate in the study, 372 (50%) were allocated to Standard Support, 182 (25%) to Standard Support with Medication Management and 185 (25%) to Standard Support and Medication Management with Contingency Management. Data were available for 518 (70%) of participants at 6-month follow-up, 255 (68.5%) allocated to Standard Support, 122 (67.0%) to Standard Support and Medication Management and 141 (76.2%) to Standard Support and Medication Management with Contingency Management. The mean difference of per cent adherence to acamprosate was higher for those who received Standard Support and Medication Management with Contingency Management (10.6%, 95% confidence interval 19.6% to 1.6%) compared to Standard Support alone, at the primary end point (6-month follow-up). There was no significant difference in per cent days adherent when comparing Standard Support and Medication Management with Standard Support alone 3.1% (95% confidence interval 12.8% to -6.5%) or comparing Standard Support and Medication Management with Standard Support and Medication Management with Contingency Management 7.9% (95% confidence interval 18.7% to -2.8%). The primary economic analysis at 6 months found that Standard Support and Medication Management with Contingency Management was cost-effective compared to Standard Support alone, achieving small gains in quality-adjusted life-years at a lower cost per participant. Cost-effectiveness was not observed for adjunctive Medication Management compared to Standard Support alone. There were no serious adverse events related to the trial interventions reported. Limitations: The trial's primary outcome measure changed substantially due to data collection difficulties and therefore relied on a measure of self-reported adherence. A lower than anticipated follow-up rate at 12 months may have lowered the statistical power to detect differences in the secondary analyses, although the primary analysis was not impacted. Conclusions: Medication Management enhanced with Contingency Management is beneficial to patients for supporting them to take acamprosate. Future work: Given our findings in relation to Contingency Management enhancing Medication Management adherence, future trials should be developed to explore its effectiveness and cost-effectiveness with other alcohol interventions where there is evidence of poor adherence. Trial registration: This trial is registered as ISRCTN17083622 https://doi.org/10.1186/ISRCTN17083622. Funding: This project was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 27, No. 22. See the NIHR Journals Library website for further project information.

Many people who are trying to stop drinking alcohol can find it difficult to remain alcohol free. There is a medication called acamprosate (Campral) that can reduce cravings thereby increasing the likelihood of abstinence. However, some people have trouble taking the right amount of acamprosate tablets needed every day at the right time, preferably at mealtimes. This means the medication is not as effective. We have tested some new ways to help support people taking acamprosate. We tested three different strategies to find the best way to support people taking acamprosate. We recruited 739 people aged 18 and over who were receiving alcohol treatment to stop drinking and were taking acamprosate. We randomly allocated these people to three groups. The first was Standard Support, the usual support people receive when taking acamprosate. The second group received Standard Support plus Medication Management. This consisted of 12 telephone calls over 6 months with a trained pharmacist to discuss the importance of taking the right amount of the medication, how the medication works and strategies to help people take the medication correctly. The third group received Standard Support, Medication Management and Contingency Management. This involved giving people shopping vouchers for participating with Medication Management calls. The maximum value of vouchers per person was £120. People who were in the group receiving Medication Management and Contingency Management took a greater number of acamprosate tablets. We also found that Medication Management plus Contingency Management was more cost-effective; there were greater gains in health with a smaller cost per person compared to Standard Support alone. This shows that there is likely to be a benefit to patients of Medication Management plus Contingency Management for supporting people taking acamprosate.

Identifying the most important research, policy and practice questions for substance use, problematic alcohol use and behavioural addictions in autism (SABA-A): A priority setting partnership.

BACKGROUND: Autistic people are more likely to report problematic alcohol and other substance use when compared to the general population. Evidence suggests that up to one in three autistic adults may have an alcohol or other substance use disorder (AUD/SUD), although the evidence base for behavioural addictions is less clear. Autistic people may use substances or engage in potentially addictive behaviours as a means of coping with social anxiety, challenging life problems, or camouflaging in social contexts. Despite the prevalence and detrimental effects of AUD, SUD and behavioural addictions in community samples, literature focusing on the intersection between autism and these conditions is scarce, hindering health policy, research, and clinical practice. METHODS: We aimed to identify the top 10 priorities to build the evidence for research, policy, and clinical practice at this intersection. A priority-setting partnership was used to address this aim, comprising an international steering committee and stakeholders from various backgrounds, including people with declared lived experience of autism and/or addiction. First, an online survey was used to identify what people considered key questions about Substance use, alcohol use, or behavioural addictions in autistic people (SABA-A). These initial questions were reviewed and amended by stakeholders, and then classified and refined to form the final list of top priorities via an online consensus process. OUTCOMES: The top ten priorities were identified: three research, three policy, and four practice questions. Future research suggestions are discussed.

Management of medically assisted withdrawal from alcohol in acute adult mental health and specialist addictions in-patient services: UK clinical audit findings.

BACKGROUND: Medically assisted alcohol withdrawal (MAAW) is increasingly undertaken on acute adult psychiatric wards. AIMS: Comparison of the quality of MAAW between acute adult wards and specialist addictions units in mental health services. METHOD: Clinical audit conducted by the Prescribing Observatory for Mental Health (POMH). Information on MAAW was collected from clinical records using a bespoke data collection tool. RESULTS: Forty-five National Health Service (NHS) mental health trusts/healthcare organisations submitted data relating to the treatment of 908 patients undergoing MAAW on an acute adult ward or psychiatric intensive care unit (PICU) and 347 admitted to a specialist NHS addictions unit. MAAW had been overseen by an addiction specialist in 33 (4%) of the patients on an acute adult ward/PICU. A comprehensive alcohol history, measurement of breath alcohol, full screening for Wernicke's encephalopathy, use of parenteral thiamine, prescription of medications for relapse prevention (such as acamprosate) and referral for specialist continuing care of alcohol-related problems following discharge were all more commonly documented when care was provided on a specialist unit or when there was specialist addictions management on an acute ward. CONCLUSIONS: The findings suggest that the quality of care provided for medically assisted withdrawal from alcohol, including the use of evidence-based interventions, is better when clinicians with specialist addictions training are involved. This has implications for future quality improvement in the provision of MAAW in acute adult mental health settings.

A shared neural basis underlying psychiatric comorbidity.

Recent studies proposed a general psychopathology factor underlying common comorbidities among psychiatric disorders. However, its neurobiological mechanisms and generalizability remain elusive. In this study, we used a large longitudinal neuroimaging cohort from adolescence to young adulthood (IMAGEN) to define a neuropsychopathological (NP) factor across externalizing and internalizing symptoms using multitask connectomes. We demonstrate that this NP factor might represent a unified, genetically determined, delayed development of the prefrontal cortex that further leads to poor executive function. We also show this NP factor to be reproducible in multiple developmental periods, from preadolescence to early adulthood, and generalizable to the resting-state connectome and clinical samples (the ADHD-200 Sample and the Stratify Project). In conclusion, we identify a reproducible and general neural basis underlying symptoms of multiple mental health disorders, bridging multidimensional evidence from behavioral, neuroimaging and genetic substrates. These findings may help to develop new therapeutic interventions for psychiatric comorbidities.

Validity of root cause analysis in investigating adverse events in psychiatry.

Root cause analysis (RCA), imported from high-reliability industries into health two decades ago, is the mandated methodology to investigate adverse events in most health systems. In this analysis, we argue that the validity of RCA in health and in psychiatry must be established, given the impact of these investigations on mental health policy and practice.

Autism and gambling: A systematic review, focusing on neurocognition.

Autism spectrum disorders (hereafter autism) are prevalent and often associated with elevated rates of substance use disorders. A subset of people who gamble develop gambling disorder, which is functionally impairing. Characterization of relationships between autism and gambling, particularly as relates to cognition, may have important implications. We conducted a systematic review of the literature. Nine out of 343 publications were found eligible for inclusion. Most studies examined decision-making using cognitive tasks, showing mixed results (less, equivalent or superior performance in autistic people compared to non-autistic people). The most consistent cognitive finding was relatively slower responses in autistic people on gambling tasks, compared to non-autistic people. One study reported a link between problem gambling and autism scores, in people who gamble at least occasionally. This systematic review highlights a profound lack of research on the potential neurocognitive overlap between autism and gambling. Future work should address the link between autism and behavioral addictions in adequately powered samples, using validated tools.

Impact of intrawork rest breaks on doctors' performance and well-being: systematic review.

OBJECTIVES: To summarise evidence on intrawork breaks and their associated effect on doctors' well-being and/or performance at work. DESIGN: Systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 statement guidelines DATA SOURCES: Embase, PubMed, Web of Science (Core Collection) and PsychINFO were systematically searched on 6 June 2021. ELIGIBILITY CRITERIA: No restrictions were placed on language, study design or date of publication. DATA EXTRACTION AND ANALYSIS: Methodological quality was appraised using Cochrane's Risk of Bias (ROB-2), Cochrane's Risk of Bias in Non-randomised Studies (ROBINS-I), and the Johanna Briggs Institute (JBI) checklists for cross-sectional, cohort and qualitative studies. Quantitative synthesis was not undertaken due to substantial heterogeneity of design and outcomes. Results are presented narratively. RESULTS: Database searches returned 10 557 results and searches of other sources returned two additional records. Thirty-two papers were included in the systematic review, comprised of 29 unique studies, participants and topics and 3 follow-up studies. A variety of well-being and performance outcome measures were used. Overall, findings indicate that intrawork breaks improved some measures of well-being and/or work performance. However, methodological quality was judged to be low with a high risk of bias in most included studies. DISCUSSION: Using existing evidence, it is not possible to conclude with confidence whether intrawork breaks improve well-being and/or work performance in doctors. There is much inconsistency regarding how breaks are defined, measured and the outcomes used to assess effectiveness. Future research should seek to: (a) define and standardise the measurement of breaks, (b) use valid, reliable outcome measures to evaluate their impact on well-being and performance and (c) minimise the risk of bias in studies where possible. PROSPERO REGISTRATION NUMBER: CRD42020156924; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=156924.

Service Users' Views and Experiences of Alcohol Relapse Prevention Treatment and Adherence: New Role for Pharmacists?

AIMS: To understand service users' views and experiences of alcohol relapse prevention medication, views of a telephone behavioural modification intervention delivered by pharmacists and the use of Contingency Management (CM) to support acamprosate adherence following assisted alcohol withdrawal. METHODS: Four focus groups were conducted within four alcohol treatment and recovery groups across England (UK), with service users with lived experience of alcohol dependence (26 participants). Semi-structured topic guide was used to explore participants' views and experiences of alcohol relapse prevention medication, a telephone behavioural modification medication intervention delivered by pharmacists, and the use of CM to support acamprosate adherence. These were audio-recorded, transcribed verbatim and thematically analysed inductively and deductively. RESULTS: Four themes were identified: concerns about support and availability of alcohol relapse prevention medication; lack of knowledge and understanding about acamprosate treatment; positive perceptions of acamprosate adherence telephone support from pharmacists; and negative perceptions of CM to support acamprosate adherence. There were misunderstandings about acamprosate's mode of action and strong negative beliefs about CM. However, most were positive about pharmacists' new role to support acamprosate adherence. CONCLUSION: This study highlighted challenges service users face to commence alcohol relapse prevention medication. It appears service users could benefit from a pharmacist-led telephone intervention to improve understanding about acamprosate medication, particularly, if delivered in an engaging and motivating way.

Alcohol Consumption Is a Modifiable Risk Factor for Breast Cancer: Are Women Aware of This Relationship?

AIMS: Despite alcohol consumption being a dose-dependent risk factor for breast cancer, a recent study conducted in the UK found <20% of women attending breast screening programmes were aware of this relationship and proposed proper information campaigns need to be conducted. We aimed to investigate the awareness of this relationship among a related sample of Italian women to evaluate whether similar information campaigns should also be conducted in Italy. METHODS: The questionnaire used by the UK study was translated into Italian, slightly modified for the Italian context, validated and submitted to a sample of Italian women. RESULTS: Overall 507 women were interviewed. Among them, 160 were classified as breast cancer screening attenders (SG), 44 as symptomatic breast clinic attenders (CAG) and 303 as non-screening group (NSG). Alcohol was correctly identified as a risk factor for breast cancer by 16.9, 11.4 and 14.9% of participants of SG, CAG and NSG, respectively without differences between the three groups. Despite the methodological differences, the rates of participants who correctly identified alcohol as a risk factor among women attending breast screening programmes were surprisingly similar between the study conducted in UK (15.7%) and the present study (16.9%). CONCLUSION: The results of the present study confirm the limited awareness of the relationship between alcohol consumption and risk of developing breast cancer among women and suggest the urgent need to conduct proper awareness-raising campaigns to counter this in the Italian female population.

Concurrent validity of an estimator of weekly alcohol consumption (EWAC) based on the extended AUDIT.

BACKGROUND AND AIMS: The three-question Alcohol Use Disorders Identification Test (AUDIT-C) is frequently used in healthcare for screening and brief advice about levels of alcohol consumption. AUDIT-C scores (0-12) provide feedback as categories of risk rather than estimates of actual alcohol intake, an important metric for behaviour change. The study aimed to (i) develop a continuous metric from the Extended AUDIT-C expressed in United Kingdom (UK) units (8 g pure ethanol), offering equivalent accuracy, and providing a direct estimator of weekly alcohol consumption (EWAC) and (ii) evaluate the EWAC's bias and error using the graduated-frequency (GF) questionnaire as a reference standard of alcohol consumption. DESIGN: Cross-sectional diagnostic study based on a nationally-representative survey. SETTINGS: Community dwelling households in England. PARTICIPANTS: A total of 22 404 household residents aged ≥16 years reporting drinking alcohol at least occasionally. MEASUREMENTS: Computer-assisted personal interviews consisting of (i) AUDIT questionnaire with extended response items (the 'Extended AUDIT') and (ii) GF. Primary outcomes were: mean deviation <1 UK unit (metric of bias); root-mean-square deviation <2 UK units (metric of total error) between EWAC and GF. The secondary outcome was the receiver operating characteristic area under the curve for predicting alcohol consumption in excess of 14 and 35 UK units. FINDINGS: EWAC had a positive bias of 0.2 UK units (95% CI = 0.08, 0.4) compared with GF. Deviations were skewed: whereas the mean error was ±11 UK units/week [9.5, 11.9], in half of participants the deviation between EWAC and GF was between 0 and ±2.1 UK units/week. EWAC predicted consumption in excess of 14 UK units/week with a significantly greater area under the curve (0.918 [0.914, 0.923]) than AUDIT-C (0.870 [0.864, 0.876]) or the full AUDIT (0.854 [0.847, 0.860]). CONCLUSIONS: A new estimator of weekly alcohol consumption, which uses answers to the Extended AUDIT-C, meets the targeted bias tolerance. It is superior in accuracy to AUDIT-C and the full 10-item AUDIT when predicting consumption thresholds, making it a reliable complement to the Extended AUDIT-C for health promotion interventions.

Alcohol-medication interactions: A systematic review and meta-analysis of placebo-controlled trials.

Alcohol and other xenobiotics may limit the therapeutic effects of medications. We aimed at investigating alcohol-medication interactions (AMI) after the exclusion of confounding effects related to other xenobiotics. We performed a systematic review and meta-analysis of controlled studies comparing the effects induced by alcohol versus placebo on pharmacodynamic and/or pharmacokinetic parameters of approved medications. Certainty in the evidence of AMI was assessed when at least 3 independent studies and at least 200 participants were available. We included 107 articles (3097 participants): for diazepam, cannabis, opioids, and methylphenidate, we found significant AMI and enough data to assign the certainty of evidence. Alcohol consumption significantly increases the peak plasma concentration of diazepam (low certainty; almost 290 participants), cannabis (high certainty; almost 650 participants), opioids (low certainty; 560 participants), and methylphenidate (moderate certainty; 290 participants). For most medications, we found some AMI but not enough data to assign them the certainty grades; for some medications, we found no differences between alcohol and placebo in any outcomes evaluated. Our results add further evidence for interactions between alcohol and certain medications after the exclusion of confounding effects related to other xenobiotics. Physicians should advise patients who use these specific medications to avoid alcohol consumption. Further studies with appropriate control groups, enough female participants to investigate sex differences, and elderly population are needed to expand our knowledge in this field. Short phrases suitable for indexing terms.