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BACKGROUND: Children at risk of substance use disorders (SUD) should be detected using brief structured tools for early intervention. This study sought to translate and adapt the Car, Relax, Alone, Forget, Family/Friends, Trouble (CRAFFT) tool to determine its diagnostic accuracy, and the optimum cut-point to identify substance use disorders (SUD) risk in Ugandan children aged 6 to 13 years. METHODS: This was a sequential mixed-methods study conducted in two phases. In the first qualitative phase, in Kampala and Mbale, the clinician-administered CRAFFT tool version 2.1 was translated into the local Lumasaaba dialect and culturally adapted through focus group discussions (FGDs) and in-depth interviews, in collaboration with the tool's authors. Expert reviews and translations by bilingual experts provided insights on linguistic comprehensibility and cultural appropriateness, while pilot testing with the target population evaluated the tool's preliminary effectiveness. In the second phase, the CRAFFT tool, adapted to Lumasaaba, was quantitatively validated against the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID) for diagnosing SUD in Mbale district, through a survey. Participants, chosen randomly from schools stratified according to ownership, location, and school size, were assessed for the tool's reliability and validity, including comparisons to the MINI KID as the Gold Standard for diagnosing SUD. Data were analyzed using STATA-15. Receiver-operating-characteristic analysis was performed to determine the sensitivity, specificity, and criterion validity of the CRAFFT with the MINI-KID. RESULTS: Of the 470 children enrolled, 2.1% (n = 10) had missing data on key variables, leaving 460 for analysis. The median age and interquartile range (IQR) was 11 (9-12) years and 56.6% were girls. A total of 116 (25.2%) children had consumed alcohol in the last twelve-month period and 7 (1.5%) had used other substances. The mean CRAFFT score for all the children (n = 460) was 0.32 (SD 0.95). The prevalence of any alcohol use disorder (2 or more positive answers on the MINI KID) in the last 12 months was 7.2% (n = 32). The Lumasaaba version of the CRAFFT tool demonstrated good internal consistency (Cronbach's α = 0.86) and inter-item correlation (Spearman correlation coefficient of 0.84 (p < 0.001). At a cut-off score of 1.00, the CRAFFT had optimal sensitivity (91%) and specificity (92%) (Area Under the Curve (AUC) 0.91; 95% CI 0.86-0.97) to screen for SUD. A total of 62 (13.5%) had CRAFFT scores of > 1. CONCLUSION: The Lumasaaba version of the CRAFFT tool has sufficient sensitivity and specificity to identify school-age children at risk of SUD.
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Psicometría , Trastornos Relacionados con Sustancias , Humanos , Niño , Uganda/epidemiología , Femenino , Masculino , Trastornos Relacionados con Sustancias/diagnóstico , Trastornos Relacionados con Sustancias/epidemiología , Adolescente , Reproducibilidad de los Resultados , Tamizaje Masivo/métodos , Grupos Focales , Traducciones , Sensibilidad y EspecificidadRESUMEN
Impulsivity is considered a core feature of substance use disorders (SUDs), including personological (i.e., negative urgency, positive urgency, lack of premeditation) and neuropsychological (i.e., cognitive and motor disinhibition, impulsive choice) dimensions. Dialectical Behavior Therapy Skills Training (DBT-ST) as a stand-alone treatment is an effective intervention for alcohol use disorder (AUD) and other SUDs. However, there are no studies that have investigated changes in impulsivity levels during a DBT-ST program, especially testing the therapeutic effects of DBT skills. Twenty-nine patients with AUD and other SUDs were admitted to a 3-month DBT-ST program. Self-report (i.e., UPPS-P) and computerized neuropsychological (i.e., Attentional Network test; Go/No-Go task; Iowa Gambling Task) measures of impulsivity were administered at the beginning and end of the DBT-ST. Distress tolerance (DTS), mindfulness (MAAS, FFMQ) and emotion regulation (DERS) were also assessed pre- and post-intervention. The study included two age- and gender-matched control groups: (a) untreated patients with SUDs (Nâ¯=â¯29); (b) healthy controls (HCs) (Nâ¯=â¯29). Twenty-four (82.7%) patients concluded the DBT-ST program. Emotion-based forms of impulsivity significantly improved during the program. At the end of treatment, impulsivity levels were significantly lower than those of untreated patients with SUDs and they were not significantly different from HCs. Cognitive disinhibition significantly decreased during the treatment. The improvement in impulsivity was explained by pre- posttreatment changes in distress tolerance, mindfulness and emotion regulation. Motor disinhibition did not improve during the treatment. These findings supported the initial efficacy of the DBT-ST program for addressing different features of impulsivity among individuals with AUD and other SUDs. Future follow-up studies should demonstrate the role of impulsivity domains in long-term relapse prevention.
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Alcoholismo , Terapia Conductual Dialéctica , Trastornos Relacionados con Sustancias , Humanos , Etanol , Alcoholismo/terapia , Conducta Impulsiva , Trastornos Relacionados con Sustancias/terapiaRESUMEN
BACKGROUND: Dialectical Behavior Therapy Skills Training (DBT-ST) as stand-alone treatment has demonstrated promising outcomes for the treatment of alcohol use disorder (AUD) and concurrent substance use disorders (SUDs). However, no studies have so far empirically investigated factors that might predict efficacy of this therapeutic model. METHODS: 275 treatment-seeking individuals with AUD and other SUDs were consecutively admitted to a 3-month DBT-ST program (in- + outpatient; outpatient settings). The machine learning routine applied (i.e. penalized regression combined with a nested cross-validation procedure) was conducted in order to estimate predictive values of a wide panel of clinical variables in a single statistical framework on drop-out and substance-use behaviors, dealing with related multicollinearity, and eliminating redundant variables. RESULTS: The cross-validated elastic net model significantly predicted the drop-out. The bootstrap analysis revealed that subjects who showed substance-use behaviors during the intervention and who were treated with the mixed setting (i.e., in- and outpatient) program, together with higher ASI alcohol scores were associated with an higher probability of drop-out. On the contrary, older subjects, higher levels of education, together with higher scores of DERS awareness subscale were negatively associated to drop-out. Similarly, lifetime co-diagnoses of anxiety, bipolar, and gambling disorders, together with bulimia nervosa negatively predicted the drop-out. The machine learning model did not identify predictive variables of substance-use behaviors during the treatment. CONCLUSIONS: The DBT-ST program could be considered a valid therapeutic approach especially when AUD and other SUDs co-occur with other psychiatric conditions and, it is carried out as a full outpatient intervention.
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Alcoholismo , Terapia Conductual Dialéctica , Trastornos Relacionados con Sustancias , Alcoholismo/complicaciones , Alcoholismo/epidemiología , Alcoholismo/terapia , Trastornos de Ansiedad , Terapia Conductista , Humanos , Aprendizaje Automático , Trastornos Relacionados con Sustancias/complicaciones , Trastornos Relacionados con Sustancias/epidemiología , Trastornos Relacionados con Sustancias/terapiaRESUMEN
INTRODUCTION: Electronic vapor products (EVPs), including e-cigarettes, can be used to aerosolize many substances. Examination of substances used in EVPs by US adults has been limited; we assessed past-year use of EVPs to deliver various substances. METHODS: Data came from the 2017 SummerStyles Survey, a web-based survey of US adults (Nâ¯=â¯4107). Ever EVP users were asked if they had used nicotine, marijuana, flavors or "something else" in an EVP during the past year. Weighted estimates for any, exclusive, and combined EVP substance use were calculated among ever (nâ¯=â¯586) and current (past 30-day; nâ¯=â¯121) EVP users. RESULTS: Past-year use of nicotine, flavors, and marijuana in EVPs was 30.7%, 23.6%, and 12.5% among ever EVP users, respectively; and 72.3%, 54.6%, and 17.8% among current EVP users. Among ever EVP users, the most commonly used substances were nicotine only (29.6%), nicotine plus flavors (27.2%), flavors only (16.4%), and marijuana only (14.9%). Among current EVP users, the most common substances used were nicotine plus flavors (39.1%), nicotine only (29.6%), and flavors only (11.2%). Among ever users, males and 18-29â¯year olds were more likely to report use of flavors than females and respondents ≥30â¯years. CONCLUSIONS: Approximately 7 in 10 current EVP users reported nicotine use, about 1 in 2 used flavors, and nearly 1 in 6 used marijuana. These findings suggest that EVPs are used to consume a variety of substances and could guide efforts to address tobacco and non-tobacco substance use.
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INTRODUCTION: Electronic cigarettes (e-cigarettes) have grown in popularity, especially among youth and young adults. Although e-cigarettes were originally intended to vaporize a liquid mixture containing nicotine, there appears to be an increasing trend in other substance use in e-cigarettes (OSUE). MATERIALS AND METHODS: Cross-sectional data from 1542 undergraduate college student e-cigarette users from a large Midwestern university were collected via online survey to assess prevalence of e-cigarette use, reasons for use, perceived harm, and prevalence and predictors of OSUE. RESULTS: Nearly 7% (6.94%) reported using an e-cigarette to vaporize and inhale a substance other than nicotine. Current tobacco cigarette smokers were significantly more likely to report OSUE (51.0%) as compared with never (33.7%) and former (15.4%) smokers. Among respondents reporting OSUE, the primary reason for e-cigarette use was "safer than cigarettes" (21.7%), followed by "experimentation" (18.9%) and "friends use" (17.0%). Most (77.9%) reported using cannabis or some derivative of cannabis in an e-cigarette. Binomial logistic regression found that women were less likely to report OSUE by a factor of 0.60, former tobacco cigarette smokers as compared with never smokers were more likely to report OSUE by a factor of 1.87, and e-cigarette users who reported using e-cigarettes for "cool or trendy" reasons were more likely to report OSUE by a factor of 2.89. DISCUSSION: Little is known regarding the health effects of cannabis and cannabis derivatives delivered through e-cigarettes. Concern may also be warranted regarding the potential dangers of this young population using substances more dangerous than cannabis in e-cigarettes. Knowledge is limited regarding the public health impact of vaping cannabis or other illicit substances among college student populations. This study stresses the need for continued research regarding the vaping of cannabis and other illicit substances among college students.
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BACKGROUND: Opioid medication to treat acutely injured patients is usual care in trauma settings. A higher prevalence of alcohol and other substance misuse in this population compared to the general population increases the vulnerability of such patients to both misuse of their prescribed opioids, and also unintentional opioid overdose. The primary purpose of this study was to assess the prevalence of substance use and unintentional opioid overdose risk among acutely injured trauma patients, and to examine the frequency and predictors of high opioid dose at discharge. METHODS: A retrospective electronic medical record (EMR) review of three-months of data from two Level 1 trauma centers. We assessed the prevalence of substance misuse, unintentional opioid overdose risk, and presence of documentation of clinical strategies to mitigate these risks, such as co-prescription of the opioid agonist naloxone. RESULTS: In total, 352 patient EMRs were examined. Over 40% of the patients reviewed had at least one indication of substance misuse (42.5% [95%CI: 37.3, 47.7]); at least 1 unintentional opioid overdose risk factor was identified in 240 EMR reviewed (68.2% [95%CI: 63.3, 73.1]). Dose of opioid medication was not significantly different for patients with substance misuse versus those without. There was no co-prescription of naloxone for any of the discharged patients. CONCLUSIONS: Our results indicate that despite the high rates of substance misuse, the potential for misuse, dependence and unintentional overdose risk from prescribed opioid medications are prevalent among acutely injured trauma patients. Prescribing after acute trauma care should address these risk factors.