Substance Involvement Screening Test Research Articles

Exploring the link between intelligence and drug abuse among juvenile felons in India

ABSTRACT Children involved in the juvenile justice system are more likely to struggle with substance abuse and intellectual disabilities. Substance abuse is a major public health concern among young individuals globally, including juvenile felons. This study examines the relationships and factors that influence juvenile felons’ substance abuse, intelligence, and delinquent behaviour. This study applies a descriptive cross-sectional survey design using a purposive sampling technique. The participants included 163 male juveniles from Tamil Nadu, India. The psychological measures used for the study were the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) scale, the Standard Progressive Matrices, and the Australian Self-reported Delinquency Scale. According to the study’s findings, intelligence does not have a significant impact on juvenile felons’ delinquent behaviour. Furthermore, the study identified repeated offences and runaway behaviour as factors that increase the risk of substance abuse. Juvenile felons’ substance abuse significantly influences and predicts their delinquent behaviour.

Time spent on social media and depressive symptoms in university students: The mediating role of psychoactive substances.

Although some studies have related social media use and depressive symptoms, little is known about the role of psychoactive substance use in this relationship. Therefore, this study aimed to estimate the association between time spent on social media (TSSM) and depressive symptoms and to examine whether this relationship is mediated by psychoactive substances in students. Our cross-sectional analysis included a sample of students from a university in a large city in southern Brazil. The TSSM and tobacco frequency of consumption were self-reported. Depressive symptoms were assessed with the Patient Health Questionnaire. Alcohol and illicit drug-related risks were assessed with the Alcohol, Smoking and Substance Involvement Screening Test. Hayes's PROCESS macro was used for mediation analyses, adjusted for age, sex, body mass index and physical activity. A total of 3161 students were included, of which, 69.0% reported moderate to severe depressive symptoms. The association between TSSM and depressive symptoms was statistically significant and partially mediated by tobacco consumption (indirect effect [IE] = 0.05; 95% CI: 0.02-0.08), alcohol-related risk (IE = 0.19; 95% CI: 0.14-0.25), and illicit drug-related risk (IE = 0.08; 95% CI: 0.05-0.12). Our data suggest a direct relationship between TSSM and depressive symptoms, with a partial mediation effect of psychoactive substance use. This study highlights the importance that public health initiatives aimed at preventing depressive problems in young adults should focus not only on TSSM, but also on controlling and reducing psychoactive substance use.

Screening for harmful substance use in emergency departments: a systematic review

BackgroundSubstance use-related emergency department (ED) visits have increased substantially in North America. Screening for substance use in EDs is recommended; best approaches are unclear. This systematic review synthesizes evidence on diagnostic accuracy of ED screening tools to detect harmful substance use.MethodsWe included derivation or validation studies, with or without comparator, that included adult (≥ 18 years) ED patients and evaluated screening tools to identify general or specific substance use disorders or harmful use. Our search strategy combined concepts Emergency Department AND Screening AND Substance Use. Trained reviewers assessed title/abstracts and full-text articles for inclusion, extracted data, and assessed risk of bias (QUADAS-2) independently and in duplicate. Reviewers resolved disagreements by discussion. Primary investigators adjudicated if necessary. Heterogeneity precluded meta-analysis. We descriptively summarized results.ResultsOur search strategy yielded 2696 studies; we included 33. Twenty-one (64%) evaluated a North American population. Fourteen (42%) applied screening among general ED patients. Screening tools were administered by research staff (n = 21), self-administered by patients (n = 10), or non-research healthcare providers (n = 1). Most studies evaluated alcohol use screens (n = 26), most commonly the Alcohol Use Disorders Identification Test (AUDIT; n = 14), Cut down/Annoyed/Guilty/Eye-opener (CAGE; n = 13), and Rapid Alcohol Problems Screen (RAPS/RAPS4/RAPS4-QF; n = 12). Four studies assessing six tools and screening thresholds for alcohol abuse/dependence in North American patients (AUDIT ≥ 8; CAGE ≥ 2; Diagnostic and Statistical Manual of Mental Disorders, 4th Edition [DSM-IV-2] ≥ 1; RAPS ≥ 1; National Institute on Alcohol Abuse and Alcoholism [NIAAA]; Tolerance/Worry/Eye-opener/Amnesia/K-Cut down [TWEAK] ≥ 3) reported both sensitivities and specificities ≥ 83%. Two studies evaluating a single alcohol screening question (SASQ) (When was the last time you had more than X drinks in 1 day?, X = 4 for women; X = 5 for men) reported sensitivities 82–85% and specificities 70–77%. Five evaluated screening tools for general substance abuse/dependence (Relax/Alone/Friends/Family/Trouble [RAFFT] ≥ 3, Drug Abuse Screening Test [DAST] ≥ 4, single drug screening question, Alcohol, Smoking and Substance Involvement Screening Test [ASSIST] ≥ 42/18), reporting sensitivities 64%-90% and specificities 61%-100%. Studies’ risk of bias were mostly high or uncertain.ConclusionsSix screening tools demonstrated both sensitivities and specificities ≥ 83% for detecting alcohol abuse/dependence in EDs. Tools with the highest sensitivities (AUDIT ≥ 8; RAPS ≥ 1) and that prioritize simplicity and efficiency (SASQ) should be prioritized.

Patterns and Characteristics of Amphetamine-type Stimulant Use in a North-eastern State of India: A Cross-sectional Study

Background: South Asia generally reports low levels of amphetamine-type stimulant (ATS) use, with few studies on the pattern of ATS use. We assessed the pattern of ATS use and associated high-risk behavior in Manipur, a north-eastern state of India. Methods: 209 adult male ATS users (mean age 28.8 years) from three districts of Manipur were interviewed. Data were collected on the patterns of high-risk behavior with ATS use, health consequences, and help-seeking. The severity of use with various substances was assessed using the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST). Depression and anxiety were assessed by the Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder (GAD-7) scale, respectively. Results: The mean duration of ATS use was 3.7 years (SD 2.3). The majority used ATS almost daily (88%) and depended on ATS (77%). Methamphetamine (99.5%) was the most used ATS orally. Around 87% also suffered from opioid dependence. About 76% injected drugs, most commonly heroin. Almost three-fourths (78%) used ATS before their sexual intercourse, 31% of whom did not use condoms. Most reported physical problems with ATS and had above-cut-off scores on PHQ-9 and GAD-7. The majority (95%) reported that they could procure ATS easily. Also, the majority (93%) had thought of quitting ATS use. Discussion: Most ATS users start using ATS at a young age and have comorbid other drug use, including heroin. ATS use is associated with various physical and psychological problems. Focusing on ATS use in India and developing strategies to address this problem is essential.

Psychological Aggression in Couples Seeking Relationship Therapy: A Dyadic Analysis of Individual and Relational Risk Factors

Several studies have investigated the risk factors for the perpetration of intimate partner violence (IPV) over the years. However, most research on IPV has focused on physical violence, limiting our understanding of psychological aggression. This study addressed this limitation by examining the relative contribution of several individual and relational risk factors (i.e., alcohol and cannabis use, relationship satisfaction, depressive symptoms, and attachment insecurities) with regard to the use of psychological aggression in both partners of couples reporting high relationship distress. The sample included 392 couples seeking relationship therapy. Couples were recruited by their therapist during the first therapy session and the partners completed the Revised Conflict Tactics Scale, the Alcohol, Smoking, and Substance Involvement Screening Test, the abbreviated Dyadic Adjustment Scale, the abbreviated Experiences in Close Relationships, and the Psychological Symptoms Index. We conducted path analyses based on the Actor–Partner Interdependence Model. When accounting for all factors in a single model, lower relationship satisfaction and higher attachment-related avoidance were associated with both partners’ higher use of psychological aggression. Cannabis use and harmful alcohol use were not associated with the individual’s own use of psychological aggression, but they were associated with their partner’s higher use of psychological aggression. Depressive symptoms and attachment anxiety were not significant predictors of psychological aggression. There were no gender differences in these associations. The findings of the present study suggest that several intrapersonal and interpersonal risk factors explain the use of psychological aggression in couples.

Validation of the ACSID-11 for consistent screening of specific Internet-use disorders based on ICD-11 criteria for gaming disorder: A multitrait-multimethod approach

IntroductionWith the inclusion of gaming disorder in the ICD-11, diagnostic criteria were introduced for this relatively new disorder. These criteria may be applied to other potential specific Internet-use disorders. The 11-item Assessment of Criteria for Specific Internet-use Disorders (ACSID-11) was developed for consistent screening of gaming disorder, online buying-shopping disorder, online pornography-use disorder, social networks-use disorder, and online gambling disorder. This study tested the construct validity of the ACSID-11, including convergent and divergent measures. MethodsThe ACSID-11 measures five behavioral addictions with the same set of items by following the principles of the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). The ACSID-11 was administered to a convenience sample of active Internet users (N = 1597) together with validated and established measures of each specific Internet-use disorder along with screeners for mental health. Included are the Ten-Item Internet Gaming Disorder Test (IGDT-10), the Bergen Shopping Addiction Scale (BSAS), the Problematic Pornography Consumption Scale (PPCS), the Bergen Social Media Addiction Scale (BSMAS) and the Berlin Inventory of Gambling behavior – Screening (BIG-S). The ACSID-11 was compared convergently and divergently through a multitrait-multimethod approach along with contingency tables with the other Internet-use disorder screeners. ResultsThe multitrait-multimethod results shows that each behavior assessed with the ACSID-11 has moderate to strong correlations (r's from 0.462 to 0.609) with the scores of the corresponding established measures and, furthermore, positive correlations (r's from 0.122 to 0.434) with measures of psychological distress and further shows that the ACSID-11 can be used for a comprehensive assessment of different behaviors. The contingency tables reveal large divergences between the ACSID-11 and other screening instruments concerning the classification of problematic specific Internet use based on the given cut-off values. ConclusionThe current work provides additional validation for the ACSID-11. Accordingly, this tool can be considered as reliable and valid for the simultaneous assessment of different Internet-use disorders: gaming disorder, online buying-shopping disorder, online pornography use disorder, social networks use disorder, and online gambling disorder. With a subsequent clinical validation of the scale and the proposed cut-off score, the ACSID-11 will be a thoroughly validated useful screening tool for clinical practice.

Prevalence and Determinants of Alcohol Use in Benue South Senatorial District, Nigeria

Introduction: Despite the huge public health problems of alcohol use, there is no community data in Benue South, Senatorial District. The aim of the study was to determine the prevalence of alcohol use and their determinants in Benue South Senatorial District.Materials and Method: 400 participants aged 18 to 60 years, who consented, were recruited consecutively in Okpokwu, Otukpo and Ohimini Local Government Areas (LGAs). A 3-part questionnaire, including the WHO Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) was administered to the participants.Results: The mean age was 29.12 years ± 10.5. The lifetime prevalence of alcohol use was 77.5% and the prevalence of current alcohol use was 47.5 %. The study found no determinant of alcohol use. There was no association between alcohol use and gender (p=0.163), age (p=0.043), educational level (p=0.934), community control of alcohol use (p=0.451) and ease of obtaining alcohol (p=0.920).Conclusion: Further research on alcohol use alongside routine screening and appropriate interventions in facilities is an important public health action.

Using the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) to Predict Gambling Disorder Among U.S. College Students.

The Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) screening tool has not previously been used to evaluate risk for gambling disorder (GD). We aimed to assess the level at which each specific substance involvement score (SSIS), measured by ASSIST, most optimally predicted GD among U.S. college students. Data were analyzed for 141,769 students from the National College Health Assessment (fall 2019-spring 2021) utilizing multivariable logistic regression models. Sensitivities and specificities were utilized to find optimal cutoffs that best identified those with GD, overall and by biological sex and age group. Lower threshold of substance risk related to prescription opioids, cocaine, and hallucinogens (all with SSIS cutoffs of 4) predicts gambling disorder compared to sedatives (SSIS cutoff of 19). Younger students had lower thresholds of substance risk predicting GD than older students for heroin, but for all other substance classifications students 25years and older had lower thresholds of SSIS predicting GD than students 18-24years old. This study aids in the understanding that substance use behavior may put students at risk for other addictive behaviors such as GD. This study is the first to utilize the ASSIST tool to predict GD among U.S. college students, extending its application beyond substance use disorders. The identification of optimal cutoffs for each SSIS provides a novel approach to concurrently screen for GD and substance use disorders. This unique contribution could enhance early detection and intervention strategies for GD in the college student population.

Substance Use Among People Seeking Health Care Services in Primary Health Care Settings in Coastal Karnataka

Background: Patients with substance use disorders are common in general medical practice and are a major risk factor for several non-communicable diseases. Appropriate screening is a vital step for providing brief interventions which can provide a good opportunity to tackle this crisis and in achieving target 3.5 of the sustainable development goal which includes strengthening the prevention and treatment of substance abuse. Objectives: To study the magnitude of substance use and factors associated with it among people seeking health care services at primary care settings. Methods: The cross-sectional study recruited people seeking services at primary care settings to screen for substance users (SU) and determine the associated factors. The data was collected using a pretested semi-structured questionnaire including socio-demographic characteristics, health status and the Alcohol, Smoking and Substance Involvement Screening Test tool. Results: The study showed that 43.4% of the participants were SU. The current use of smokeless tobacco was higher compared to tobacco smoking (21.3% and 4.7%). The multivariate logistic regression showed that advancing age (AOR: 2.61 and 95% CI of 1.01–6.79), male gender (AOR: 705 and 95% CI of 4.25–11.70), primary and middle school (AOR: 3.24 and 95% CI of 1.52–6.92) literacy status, unemployed (AOR: 0.49 and 95% CI of 0.25–0.95), religion and other backward caste (AOR: 2.42 and 95% CI of 1.37–4.30) were significant correlates of SU. Conclusion: Substance use was reported by two-fifths of the participants seeking services at primary care centres in our study and stresses the need for incorporating brief interventions to prevent higher degrees of dependence and its complications.

Substance Abuse and Sleep Quality in University Students.

Substance abuse remains a challenging public health issue, especially among young people. It has been shown that poor sleep and substance abuse may have mutual intensifying effects. This study aimed to evaluate the rates of substance abuse, cigarette smoking, and alcohol consumption and their association with sleep disturbances among university students in 2021. The participants were the students of the Faculty of Sciences, University of Guilan, Iran in 2021. Data were collected through a researcher-made demographic questionnaire, the first two questions of the translated version of the World Health Organization (WHO) Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST), and the Pittsburgh Sleep Quality Index (PSQI). A total of 222 students entered the study from March to August 2021. The rates of substance abuse in the past three months and lifetime were 35.6% and 45.5%, respectively. The most common type of substance abuse was related to the 'other substances' category. Substance abuse was significantly higher in students living in dormitories and those with a family history of substance abuse. Poor sleep was found in 34.2% of the students, and substance abuse and alcohol consumption both in the past three months and lifetime were significantly associated with lower sleep quality. This study showed that substance abuse was significantly associated with sleep disturbances. The study results also illustrated an upward trend of substance abuse in recent years among students in Rasht, which may be related to economic issues in the country and/or the effects of the COVID-19 pandemic. Considering the rising prevalence of substance abuse and its impacts on society, policymakers are highly recommended to pay special attention to its risk factors.

Evaluation of the psychometric properties and convergent validity of the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) questionnaire in Brazilian young adults

BackgroundThis cross-sectional study aims to evaluate the psychometric properties and the convergent validity of the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). Confirmatory factor analysis (CFA) and linear regression adjusted for confounding factors were performed to obtain the adjusted beta value (βadj) for sleep quality (Pittsburgh Sleep Quality Index), burnout (Copenhagen Burnout Inventory), and depressive symptoms (Patient Health Questionnaire-9).ResultsThe study population consisted of 3187 young adult university students. The CFA indicated adequate fits for the one- and two-factor structure of the ASSIST, with better indices for the two-factor model. Convergent validity results confirmed the best fit of the one-factor model (version 3.1), in which individuals classified as “suggestive of dependence” showed a greater effect on worse sleep quality (βadj 2.16, 95% confidence interval (CI) 1.48–2.84), burnout (βadj 12.25, 95% CI 8.43–16.06), and depressive symptoms (βadj 6.69, 95% CI 5.37–8.00).ConclusionsThe results and the literature review indicated that the one-factor presents an adequate factor structure and better convergent validity.

Validation of the Amharic version of Internet Addiction Test-20: a cross-sectional study.

Internet Addiction is defined as excessive internet use or poorly controlled preoccupations, impulses, or behaviors related to computer use and internet access that cause impairment or suffering. It had devastating effect on people lives, families, productivity, academic performance and rarely engaging in criminal acts like alcohol use, drug addiction, or compulsive gambling. This study aimed to investigate the psychometric properties of the Amharic version of Internet Addiction Test-20 among Addis Ababa University, College of Health Sciences medical students, Addis Ababa, Ethiopia. A cross sectional study was carried out among 410 medical students using a convenience sampling method after stratifying them based on their year level. SPSS Version 23 was used to do Pearson's correlation coefficient to determine the convergent validity of Amharic version of IAT. We computed correlation coefficient between the aggregate scores of IAT-20 and the scores for depressive symptoms, problematic substance use, and other characteristics of participants which was assessed using Patient health questionnaire-9 (PHQ-9), Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) and questionnaire developed to assess demographic and internet use related characteristics, respectively. AMOS 23 software was used to conduct confirmatory factor analysis (CFA) to evaluate the construct validity of Amharic version of IAT. Test-retest reliability was also determined with 2 weeks interval (n = 51). The data confirmed a two-factor structure. Normed Fit Index (NFI) = 0.89, Tucker Lewis Index (TLI) = 0.91 and Comparative Fit Index (CFI) = 0.92, Root Mean Square Error Approximation (RMSEA) = 0.07, and Standardized Root Mean Residual (SRMR) =0.05 indicated a good fit model structure. There was moderate positive correlation between the aggregate scores of IAT-20 and PHQ-9 scores (r = 0.55, p < 0.00), but weak positive correlation between IAT-20 and ASSIST scores (r = 0.14, p < 0.00). IAT-20 was also found to have good internal consistency (Cronbach's alpha = 0.89 for each factor). The test-retest reliability was also good for all items (Intra Class Correlation Coefficient (ICC) > 0.30) except item 16. We found that the IAT-20 is psychometrically sound and a simple screening test for Internet Addiction. However, it is important to acknowledge that further studies are necessary to replicate these findings on diverse population.

Determinants of substance use among young people attending primary health centers in India

Abstract Background Substance use is a complex condition with multidimensional determinants. The present study aims to find the prevalence and determinants of substance use among young people attending primary healthcare centers in India. Methods A multicentric cross-sectional study was conducted across 15 states in India on 1,630 young people (10–24 years) attending primary health centers. The Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) was used to capture data on substance use. The degree of substance involvement was assessed and multivariate regression analysis was conducted to determine the risk factors of substance use. Results The prevalence of substance use was 32.8%, with a median substance initiation age of 18 years. Among the substance users, 75.5% began before completing adolescence. Tobacco (26.4%), alcohol (26.1%) and cannabis (9.5%) were commonly consumed. Sociodemographic determinants included higher age, male gender, urban residence, positive family history, northeastern state residence and lower socioeconomic class. Over 80% of users had moderate or high involvement. Conclusions High substance use prevalence among young people in Indian healthcare centers underscores the urgency of targeted intervention. Insights on determinants guide effective prevention strategies for this complex public health issue.

Predictors of Substance Use Risk in Nurse Anesthetists.

Certified registered nurse anesthetists (CRNAs) are exposed daily to highly addictive substances and stressful work environments, placing them at risk for substance use disorders (SUDs). Previous research, which is scarce, indicated that drugs of choice were opioids and propofol. Therefore, the purpose of this study was to investigate predictors of SUD risk using the World Health Organization Alcohol, Smoking and Substance Involvement Screening Test. From June to July 2020, an online survey was sent via the American Association of Nurse Anesthesiology Research Survey Service to 3,000 CRNAs with a response of approximately 225 members. CRNAs were found to be at a moderate risk for SUDs in the following categories: 10.27% for tobacco, 23.56% for alcohol, and 6.28% for cannabis. Regression analysis by substance category includes robust, differing models in this homogeneous sample. Predictors for all three models include a collection of demographic variables, religiosity, anxiety, difficulties due to anxiety, depression, substance use history, contact with the American Association of Nurse Anesthesiology Peer Assistance Program, and organizational support. Over 10% of CRNAs are at risk for developing tobacco use disorder, and almost one quarter of those surveyed are at a moderate risk for developing alcohol use disorder. These data are of concern and may indicate a shift of preferred substances used by CRNAs from controlled substances to alcohol.

The role of interpersonal trauma and substance use in mental health: A large population-based study

Both interpersonal trauma (IPT) and substance use are linked to mental health problems, however their interplay is understudied. This study will investigate the relationship between IPT, substance use and mental health in a large population-based sample.Participants included 3756 individuals, mainly young university students using a snowball sampling method. History of IPT was collected retrospectively using the Traumatic Experiences Checklist. Substance use was examined using the World Health Organization's Alcohol, Smoking and Substance Involvement Screening Test. Mental health symptoms were assessed by the DSM-5 Level 1 Cross-Cutting Symptom Measure. Moderation analyses were performed investigating the relationship between IPT, substance use, and mental health symptoms.Participants exposed to IPT had a higher prevalence of substance use (cannabis, alcohol, tobacco) and had more severe mental health problems than people without IPT. Substance use was associated with a blunted increase of depression, anxiety, and anger in trauma victims. A history of abuse was more strongly linked to substance use than neglect. Moderation analyses further revealed that cannabis use increased psychotic symptoms and psychotic symptoms increased cannabis use in participants with high levels of IPT.Our findings indicate that substance use worsens psychotic symptoms in IPT victims whilst dampening other mental health symptoms.

Why Substance Use Screening Frequency Matters in Adult Primary Care.

Evidence-based early intervention practices, such as screening, brief intervention, and referral to treatment (SBIRT), are recommended to identify unhealthy use and provide linkages to treatment to prevent substance use disorder. However, there is a lack of screening frequency recommendations. Pennsylvania (PA) SBIRT was a five-year initiative to implement SBIRT in primary care sites. This study evaluated the effects of screening policies in PA SBIRT on changes in substance use risk category over time. Quantitative data were obtained from seven primary care sites implementing SBIRT, with patients who were screened twice using the Drug Abuse Screening Test, US Alcohol Use Disorders Identification Test, or the Alcohol, Smoking, and Substance Involvement Screening Test and experienced any risk category change (n = 1,364). Patients were 49% male, 51% female, 81% White, and 14% Black. An intercept-only generalized estimating equation model tested whether category changes between screen one and screen two were statistically significant. The average number of months between screenings for those experiencing a risk category change was 9.01 with a range of 0 to 46 months. There was a statistically significant change between screening one and screening two (P > 0.001), with 44% undergoing a decrease in risk category and 56% undergoing an increase in risk category. Of those undergoing an increase in risk category, 91% moved from a negative/low risk category to a positive/higher risk category. Results suggest that frequent screening policies may improve identification of substance use risk category changes. The results act as a catalyst to further evaluate recommended screening intervals for detecting unhealthy substance use to increase identification and patient connection.

Prevalence and Factors Associated with Self-Reported Substance Use among Patients with Mental Illness in Dar es Salaam, Tanzania: A Cross-Sectional Analytical Study

Background. Substance use is prevalent among patients with mental illness in low- and middle-income countries, including Tanzania. This heightened prevalence not only increases the risk of developing mental disorders and substance use disorders but also contributes to poor treatment outcomes for these patients. Despite these concerns, the current prevalence of substance use and its associated factors in this population remains unclear in Tanzania. Therefore, this study is aimed at determining the 12-month period prevalence of self-reported substance use and associated factors among patients with mental illness. Methods. We conducted a cross-sectional analytical study among patients with mental illness at Muhimbili National Hospital in Dar es Salaam, Tanzania. Respondents were selected using a systematic random sampling technique. Data on self-reported substance use were collected using the World Health Organization’s (WHO) alcohol, smoking, and substance involvement screening test (ASSIST) V3.0. IBM SPSS version 25 was employed for data analysis, utilizing frequencies and percentages to determine the prevalence of self-reported substance use. The study employed bivariate and multiple logistic regression analyses to investigate the association between patient characteristics and self-reported substance use, with statistical significance set at a p value of &lt; 0.05. Results. A total of 364 patients were enrolled in the study, with 215 (59.1%) being male and a mean (SD) age of 35.57 (±9.01) years. Among the participants, 119 (32.7%) reported substance use. The most commonly used substances were alcohol (21.7%), tobacco (19.8%), and cannabis (12.9%). Factors significantly associated with self-reported substance use included younger age (AOR: 1.829; 95% CI: 1.112, 3.010; p=0.017), male gender (AOR: 2.346; 95% CI: 1.397, 3.939; p=0.001), positive family history of mental illness (AOR: 2.247; 95% CI: 1.364, 3.701; p=0.001), and a family history of substance use (AOR: 3.804; 95% CI: 2.305, 6.276; p&lt;0.001). Conclusions. A significant proportion, amounting to one-third of patients, reported substance use, highlighting the imperative need for targeted measures within this population. The implementation of routine substance use screening programs for patients with mental illness is crucial, alongside gender-sensitive and age-specific interventions. Consideration of patients’ family history of mental illness and substance use should be an integral part of these measures.

DSM-5 conduct disorder and symptoms in youths at high risk of psychosis in Kenya with DSM-5 mental disorders and substance use: towards integrated management

Little is known about the prevalence of Conduct Disorder (CD) and symptoms of CD in high risk psychosis persons at both clinical and community populations in LMICs and in particular Kenya. This study aimed to document (1) the prevalence of CD diagnosis and symptoms in youth who screened positive for psychosis and (2) the associated mental disorders and substance use in the same cohort in LMIC. The sample size was 536 students who had screened positive on the Washington Early Recognition Center Affectivity and Psychosis (WERCAP) from a population of 9,742 high school, college and university students, but had not converted to a psychotic disorder. We collected data on socio-demographic characteristics and used the following tools: Economic indicators tool; the Diagnostic Interview Schedule (DIS) tool for DSM-5 diagnosis; World Health Organization (WHO) Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST). Basic descriptive statistics, chi-square test, Fisher's exact test, Pearson correlation and Poisson regression were conducted. Five percent (5%) of the respondents met the criteria for DSM-5 CD. Indeterminate CD comprised 10.1%. Male gender, all substances except hallucinogens lifetime, obsessive compulsive disorder, psychosis, agoraphobia, social phobia, drug abuse/dependence, antisocial personality disorder, oppositional defiant disorder, suicidality, WERCAP screen for bipolar disorder and WERCAP screen for schizophrenia were significantly (p < 0.05) associated with CD. Deceitfulness or theft criteria symptoms showed that CD had no significant gender difference. Criteria symptoms in aggression to people and animals, destruction of property and serious violations of rules were more common among males. Our findings suggest the need to screen for and diagnose CD, mental disorders and substance use in high risk psychosis youths in Kenya. This will inform integrated management.

Alcohol, Smoking and Substance Involvement Screening Test validity in bipolar and psychotic disorders.

Patients with multi-episode bipolar and psychotic disorders have a high prevalence of substance use disorders, with negative consequences. A brief, easily administered screening test such as the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) is needed to identify those at risk in order to intervene appropriately. However, the ASSIST has not yet been validated in this population. This article aims to determine the validity and reliability of the ASSIST in detecting substance use disorders in patients with multi-episode bipolar and psychotic disorders. Western Cape Province, South Africa. The Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Health Disorders, 4th Edition (DSM-IV) Axis I Disorders (SCID-I) was used as the gold standard for detecting substance abuse and dependence. Cronbach's alpha was used to determine the internal consistency of the ASSIST, and receiver operating characteristic analysis was used to evaluate its screening properties. Optimal cut off scores were calculated to maximise sensitivity and specificity. A total substance involvement lifetime score of ≥13 was found to have optimal sensitivity and specificity of just over 74%. The optimal cutoff score for alcohol was ≥4 and for cannabis, methamphetamine, and 'other drugs' was ≥3. The area under the curve was 0.7 or above for both the total and specific substance involvement scores. The ASSIST is a psychometrically sound screening test for substance use disorders in patients with multi-episode bipolar and psychotic disorders. This is the first study to validate the ASSIST in this population.

Risk Factors for Opioid Misuse, Abuse, and Dependence Among Pain Clinic Patients: A Cross-Sectional Study at King Khalid University Hospital during 2020.

BACKGROUND Physicians are faced with the risk of patients developing opioid use disorders (OUDs) when prescribing patients opioids for long periods of time. Therefore, it is highly recommended to continuously monitor and evaluate long-term non-cancer pain patients who are prescribed opioids. This study aims to estimate the prevalence of OUDs in 103 patients with active opioid prescriptions attending the Pain Clinic at King Khalid University Hospital. MATERIAL AND METHODS A cross-sectional study was conducted at King Khalid University Hospital's pain clinic from 2020 to 2022. A list of all patients attending the Pain Clinic with an opioid prescription was provided by the hospital. Through telephone interviews, consent was secured followed by the collection of demographic variables and prescription-related variables. Additionally, patients were asked to complete the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST 3.1) opioid questionnaire. RESULTS Most of the 103 patients were at moderate risk for abuse (91.3%), while a smaller percentage were at high risk (dependence) (5.8%) and low risk (misuse) (2.9%). Tramadol was the most-prescribed opioid (43.7%). Young age (<50) (Z=2.534; P=0.011), opioid use for more than 90 days (Z=2.788; P=0.005), and the prescription of tramadol (Z=4.124; P<0.001) were associated with higher risk of OCDs. CONCLUSIONS Younger patients, opioid use >90 days, and tramadol are associated with a higher risk of opioid misuse. However, further studies on a larger scale and in various settings are needed to provide evidence accurately reflecting the general population, as this study focused on the population of pain clinic attendees.