Alcohol use disorders (AUDs) among tuberculosis (TB) patients are associated with nonadherence and poor treatment outcomes. We developed a multidisciplinary model to manage AUDs among TB patients in Tomsk, Russia. First, we assessed current standards of care through stakeholder meetings and ethnographic work. The Alcohol Use Disorders Identification Test (AUDIT) was incorporated into routine assessment of all patients starting TB treatment. We established treatment algorithms based on AUDIT scores. We then hired specialists and addressed licensing requirements to provide on-site addictions care. Our experience offers a successful model in the management of co-occurring AUDs among patients with chronic medical problems.

This research project is intended to assist with the identification of relapse factors for alcoholics who have relapsed after their twelve‑step program. It is beneficial to understand relapse factors for alcoholics in order to provide effective treatment plans, services, and goals that will assist in attaining sobriety from alcohol. The research study used a qualitative approach; the data was collected through interviews from participants at the Cedar House agency in Bloomington, CA. The data was collected and then analyzed for possible themes of relapse factors. Themes that developed from interviews conducted with alcoholics that had relapsed after their twelve‑step programs were: commitment to therapy, unemployment, availability of healthy support, shame and guilt in seeking support, loneliness, and lack of support from family/peers and community. There are limitations to this study which, include a small sample size and interviews were held at only one agency that incorporated the twelve‑step process. Future studies should be implemented to confirm the results of this study.

abstract: Alcohol use disorders and internalizing disorders are highly comorbid in adults, but how this comorbidity unfolds over development is not well understood. Previous retrospective studies in adults have shown that internalizing problems are associated with a rapid transition from first drink and first regular drinking to the onset of alcohol dependence. Some results also suggest that internalizing is a stronger predictor of rapid transitions through later stages of alcohol involvement, but these stage-specific effects have not been explicitly tested. The present study utilized a prospective dataset to investigate effects of adolescent internalizing symptoms on speed of transition through multiple stages of alcohol involvement. Specifically, it was hypothesized that greater early internalizing symptoms would predict a later age of first drink, a slower transition from first drink to first binge, and a faster transition from first binge to first dependence symptom. The moderating effects of gender were also examined. Data were from a longitudinal study of children of alcoholics and matched controls (n = 454) followed from late childhood to mid-life. Linear regression and Cox regression were the primary analytic strategies. Covariates were externalizing symptoms, family history of alcohol use disorders, and gender. Analyses also controlled for age at which the participant entered each interval. Generally, stage-specific hypotheses concerning the effects of internalizing were not supported. Internalizing symptoms marginally predicted an earlier age of first drink and a faster transition from first binge to first dependence symptom, and significantly predicted a faster transition through the overall interval from first drink to first dependence symptom. Internalizing was a stronger predictor of rapid transitions for women, and the effects of internalizing were not specific to early or later stages of alcohol involvement among women. These results suggest that early internalizing problems are a general risk factor for a rapid transition through all stages of alcohol involvement, and this risk may be stronger for women than for men. These results have important implications for our theoretical understanding of the relationship between internalizing problems and alcohol use disorders as well as prevention and intervention efforts targeting these problems. / Dissertation/Thesis / Masters Thesis Psychology 2014

This secondary analysis describes the additional psychological symptoms experienced by women in substance abuse treatment who have an alcohol use disorder (AUD) in addition to a drug use disorder (DUD). Results show high levels of certain patterns of psychological symptoms, which include Paranoid Ideation, Phobic Anxiety, Anxiety, and Psychoticism, on the Brief Symptom Inventory (BSI) subscales. Also, age had an adverse effect, with Depression and Psychoticism scores higher with increasing age. Nurse practitioners are ideally situated to assess and screen for patterns of co-occurring psychological symptoms in women with an AUD, which can complicate treatment and lead to practice implications.

Background: While the integration of alcohol screening, treatment, and referral in primary care and other medical settings in the U.S. and worldwide has been recognized as a key health care priority, it is not routinely done. In spite of the high co-occurrence and excess mortality associated with alcohol use disorders (AUDs) among individuals with tuberculosis (TB), there are no studies evaluating effectiveness of integrating alcohol care into routine treatment for this disorder. Methods: We designed and implemented a randomized controlled trial (RCT) to determine the effectiveness of integrating pharmacotherapy and behavioral treatments for AUDs into routine medical care for TB in the Tomsk Oblast Tuberculosis Service (TOTBS) in Tomsk, Russia. Eligible patients are diagnosed with alcohol abuse or dependence, are newly diagnosed with TB, and initiating treatment in the TOTBS with Directly Observed Therapy-Short Course (DOTS) for TB. Utilizing a factorial design, the Integrated Management of Physician-delivered Alcohol Care for Tuberculosis Patients (IMPACT) study randomizes eligible patients who sign informed consent into 1 of 4 study arms: (1) Oral Naltrexone + Brief Behavioral Compliance Enhancement Therapy (BBCET) + treatment as usual (TAU), (2) Brief Counseling Intervention (BCI) + TAU, (3) Naltrexone + BBCET + BCI + TAU, or (4) TAU alone. Results: Utilizing an iterative, collaborative approach, a multi-disciplinary U.S. and Russian team has implemented a model of alcohol management that is culturally appropriate to the patient and TB physician community in Russia. Implementation to date has achieved the integration of routine alcohol screening into TB care in Tomsk; an ethnographic assessment of knowledge, attitudes, and practices of AUD management among TB physicians in Tomsk; translation and cultural adaptation of the BCI to Russia and the TB setting; and training and certification of TB physicians to deliver oral naltrexone and brief counseling interventions for alcohol abuse and dependence as part of routine TB care. The study is successfully enrolling eligible subjects in the RCT to evaluate the relationship of integrating effective pharmacotherapy and brief behavioral intervention on TB and alcohol outcomes, as well as reduction in HIV risk behaviors. Conclusions: The IMPACT study utilizes an innovative approach to adapt 2 effective therapies for treatment of alcohol use disorders to the TB clinical services setting in the Tomsk Oblast, Siberia, Russia, and to train TB physicians to deliver state of the art alcohol pharmacotherapy and behavioral treatments as an integrated part of routine TB care. The proposed treatment strategy could be applied elsewhere in Russia and in other settings where TB control is jeopardized by AUDs. If demonstrated to be effective, this model of integrating alcohol interventions into routine TB care has the potential for expanded applicability to other chronic co-occurring infectious and other medical conditions seen in medical care settings.

Previous research has suggested that forgiveness of self and forgiveness of others might function differently over the course of addiction recovery. However, we know little about the longitudinal process of these dimensions of forgiveness for individuals addressing alcohol-use disorders. Increased knowledge would inform the content and sequencing of intervention strategies. Three-hundred and sixty four individuals managing alcohol dependence participated in a 30-month longitudinal study, reporting their capacity to forgive self and to forgive others every 6 months. Findings indicated that (a) participants were more forgiving of others than themselves; (b) both types of forgiveness increased over time; (c) forgiveness of self increased more rapidly than forgiveness of others; and (d) while increases in both types of forgiveness predicted increases in the other type, the effect of forgiveness of others on forgiveness of self was twice as strong as the reverse effect. Implications for facilitating forgiveness in treatment are discussed.

Extending prior alcohol expectancy measurement research, this researcher (McMurray, 2013) recently developed the Pharmacological and Social Alcohol Expectancy Scale (PSAES). The PSAES is the only alcohol expectancy measure to date that provides adequate coverage of both social expectancies and the anticipated positive pharmacological effects resulting from alcohol consumption, and was developed and validated in a sample of young adults (aged 18-23). Research has shown that adolescents at high risk for alcohol use disorder (AUD) hold higher expectations of reward from alcohol, suggesting that expectancy patterns may help distinguish at-risk youth. Building upon the previous PSAES validation study, the primary purpose of the current study was to examine whether a version of the PSAES adapted for adolescents (the PSAES-A) provided a valid measure of pharmacological and social alcohol expectancies in adolescents. Results demonstrated that a respecified model of the PSAES-A adequately fit the proposed two-dimensional factor structure and provided justification for the items representing two distinguishable domains: social and pharmacological. The PSAES-A was then used to 1) examine patterns of alcohol expectancies and drinking behaviors in adolescents and 2) investigate whether risk (e.g., sensation seeking personality) was differentially associated with pharmacological and social expectancies in adolescents. Results indicated that pharmacological and social expectancies were differentially associated with various drinking behaviors (e.g., quantity, frequency) and that sensation seeking was significantly associated with both social and pharmacological expectancies in adolescents. The fact that alcohol expectancies differentially predicted quantity and frequency of drinking suggests that different expectancy processes affect adolescent’s decisions about how often they drink versus how much alcohol they consume on a given occasion. Implications and limitations are discussed.

[EN] Alcohol abuse is one of the most alarming issues for the health authorities. It is estimated that at least 23 million of European citizens are affected by alcoholism causing a cost around 270 million euros. Excessive alcohol consumption is related with physical harm and, although it damages the most of body organs, liver, pancreas, and brain are more severally affected. Not only physical harm is associated to alcohol-related disorders, but also other psychiatric disorders such as depression are often comorbiding. As well, alcohol is present in many of violent behaviors and traffic injures. Altogether reflects the high complexity of alcohol-related disorders suggesting the involvement of multiple brain systems. With the emergence of non-invasive diagnosis techniques such as neuroimaging or EEG, many neurobiological factors have been evidenced to be fundamental in the acquisition and maintenance of addictive behaviors, relapsing risk, and validity of available treatment alternatives. Alterations in brain structure and function reflected in non-invasive imaging studies have been repeatedly investigated. However, the extent to which imaging measures may precisely characterize and differentiate pathological stages of the disease often accompanied by other pathologies is not clear. The use of animal models has elucidated the role of neurobiological mechanisms paralleling alcohol misuses. Thus, combining animal research with non-invasive neuroimaging studies is a key tool in the advance of the disorder understanding. As the volume of data from very diverse nature available in clinical and research settings increases, an integration of data sets and methodologies is required to explore multidimensional aspects of psychiatric disorders. Complementing conventional mass-variate statistics, interests in predictive power of statistical machine learning to neuroimaging data is currently growing among scientific community. This doctoral thesis has covered most of the aspects mentioned above. Starting from a well-established animal model in alcohol research, Marchigian Sardinian rats, we have performed multimodal neuroimaging studies at several stages of alcohol-experimental design including the etiological mechanisms modulating high alcohol consumption (in comparison to Wistar control rats), alcohol consumption, and treatment with the opioid antagonist Naltrexone, a well-established drug in clinics but with heterogeneous response. Multimodal magnetic resonance imaging acquisition included Diffusion Tensor Imaging, structural imaging, and the calculation of magnetic-derived relaxometry maps. We have designed an analytical framework based on widely used algorithms in neuroimaging field, Random Forest and Support Vector Machine, combined in a wrapping fashion. Designed approach was applied on the same dataset with two different aims: exploring the validity of the approach to discriminate experimental stages running at subject-level and establishing predictive models at voxel-level to identify key anatomical regions modified during the experiment course. As expected, combination of multiple magnetic resonance imaging modalities resulted in an enhanced predictive power (between 3 and 16%) with heterogeneous modality contribution. Surprisingly, we have identified some inborn alterations correlating high alcohol preference and thalamic neuroadaptations related to Naltrexone efficacy. As well, reproducible contribution of DTI and relaxometry -related biomarkers has been repeatedly identified guiding further studies in alcohol research. In summary, along this research we demonstrate the feasibility of incorporating multimodal neuroimaging, machine learning algorithms, and animal research in the advance of the understanding alcohol-related disorders. / [ES] El abuso de alcohol es una de las mayores preocupaciones de las autoridades sanitarias en la Unión Europea. El consumo de alcohol en exceso afecta en mayor o menor medida la totalidad del organismo siendo el páncreas e hígado los más severamente afectados. Además de estos, el sistema nervioso central sufre deterioros relacionados con el alcohol y con frecuencia se presenta en paralelo con otras patologías psiquiátricas como la depresión u otras adicciones como la ludopatía. La presencia de estas comorbidades demuestra la complejidad de la patología en la que multitud de sistemas neuronales interaccionan entre sí. El uso imágenes de resonancia magnética (RM) han ayudado en el estudio de enfermedades psiquiátricas facilitando el descubrimiento de mecanismos neurológicos fundamentales en el desarrollo y mantenimiento de la adicción al alcohol, recaídas y el efecto de los tratamientos disponibles. A pesar de los avances, todavía se necesita investigar más para identificar las bases biológicas que contribuyen a la enfermedad. En este sentido, los modelos animales sirven, por lo tanto, a discriminar aquellos factores únicamente relacionados con el alcohol controlando otros factores que facilitan el desarrollo del alcoholismo. Estudios de resonancia magnética en animales de laboratorio y su posterior evaluación en humanos juegan un papel fundamental en el entendimiento de las patologías psiquatricas como la addicción al alcohol. La imagen por resonancia magnética se ha integrado en entornos clínicos como prueba diagnósticas no invasivas. A medida que el volumen de datos se va incrementando, se necesitan herramientas y metodologías capaces de fusionar información de muy distinta naturaleza y así establecer criterios diagnósticos cada vez más exactos. El poder predictivo de herramientas derivadas de la inteligencia artificial como el aprendizaje automático sirven de complemento a tradicionales métodos estadísticos. En este trabajo se han abordado la mayoría de estos aspectos. Se han obtenido datos multimodales de resonancia magnética de un modelo validado en la investigación de patologías derivadas del consumo del alcohol, las ratas Marchigian-Sardinian desarrolladas en la Universidad de Camerino (Italia) y con consumos de alcohol comparables a los humanos. Para cada animal se han adquirido datos antes y después del consumo de alcohol y bajo dos condiciones de abstinencia (con y sin tratamiento de Naltrexona, una medicaciones anti-recaídas usada como farmacoterapia en el alcoholismo). Los datos de resonancia magnética multimodal consistentes en imágenes de difusión, de relaxometría y estructurales se han fusionado en un esquema analítico multivariable incorporando dos herramientas generalmente usadas en datos derivados de neuroimagen, Random Forest y Support Vector Machine. Nuestro esquema fue aplicado con dos objetivos diferenciados. Por un lado, determinar en qué fase experimental se encuentra el sujeto a partir de biomarcadores y por el otro, identificar sistemas cerebrales susceptibles de alterarse debido a una importante ingesta de alcohol y su evolución durante la abstinencia. Nuestros resultados demostraron que cuando biomarcadores derivados de múltiples modalidades de neuroimagen se fusionan en un único análisis producen diagnósticos más exactos que los derivados de una única modalidad (hasta un 16% de mejora). Biomarcadores derivados de imágenes de difusión y relaxometría discriminan estados experimentales. También se han identificado algunos aspectos innatos que están relacionados con posteriores comportamientos con el consumo de alcohol o la relación entre la respuesta al tratamiento y los datos de resonancia magnética. Resumiendo, a lo largo de esta tesis, se demuestra que el uso de datos de resonancia magnética multimodales en modelos animales combinados en esquemas analíticos multivariados es una herramienta válida en el entendimiento de patologías / [CAT] L'abús de alcohol es una de les majors preocupacions per part de les autoritats sanitàries de la Unió Europea. Malgrat la dificultat de establir xifres exactes, se estima que uns 23 milions de europeus actualment sofreixen de malalties derivades del alcoholisme amb un cost que supera els 150.000 milions de euros per a la societat. Un consum de alcohol en excés afecta en major o menor mesura el cos humà sent el pàncreas i el fetge el més afectats. A més, el cervell sofreix de deterioraments produïts per l'alcohol i amb freqüència coexisteixen amb altres patologies com depressió o altres addiccions com la ludopatia. Tot aquest demostra la complexitat de la malaltia en la que múltiple sistemes neuronals interactuen entre si. Tècniques no invasives com el encefalograma (EEG) o imatges de ressonància magnètica (RM) han ajudat en l'estudi de malalties psiquiàtriques facilitant el descobriment de mecanismes neurològics fonamentals en el desenvolupament i manteniment de la addició, recaiguda i la efectivitat dels tractaments disponibles. Tot i els avanços, encara es necessiten més investigacions per identificar les bases biològiques que contribueixen a la malaltia. En aquesta direcció, el models animals serveixen per a identificar únicament dependents del abús del alcohol. Estudis de ressonància magnètica en animals de laboratori i posterior avaluació en humans jugarien un paper fonamental en l' enteniment de l'ús del alcohol. L'ús de probes diagnostiques no invasives en entorns clínics has sigut integrades. A mesura que el volum de dades es incrementa, eines i metodologies per a la fusió d' informació de molt distinta natura i per tant, establir criteris diagnòstics cada vegada més exactes. La predictibilitat de eines desenvolupades en el camp de la intel·ligència artificial com la aprenentatge automàtic serveixen de complement a mètodes estadístics tradicionals. En aquesta investigació se han abordat tots aquestes aspectes. Dades multimodals de ressonància magnètica se han obtingut de un model animal validat en l'estudi de patologies relacionades amb el consum d'alcohol, les rates Marchigian-Sardinian desenvolupades en la Universitat de Camerino (Italià) i amb consums d'alcohol comparables als humans. Per a cada animal es van adquirir dades previs i després al consum de alcohol i dos condicions diferents de abstinència (amb i sense tractament anti-recaiguda). Dades de ressonància magnètica multimodal constituides per imatges de difusió, de relaxometria magnètica i estructurals van ser fusionades en esquemes analítics multivariats incorporant dues metodologies validades en el camp de neuroimatge, Random Forest i Support Vector Machine. Nostre esquema ha sigut aplicat amb dos objectius diferenciats. El primer objectiu es determinar en quina fase experimental es troba el subjecte a partir de biomarcadors obtinguts per neuroimatge. Per l'altra banda, el segon objectiu es identificar el sistemes cerebrals susceptibles de ser alterats durant una important ingesta de alcohol i la seua evolució durant la fase del tractament. El nostres resultats demostraren que l'ús de biomarcadors derivats de varies modalitats de neuroimatge fusionades en un anàlisis multivariat produeixen diagnòstics més exactes que els derivats de una única modalitat (fins un 16% de millora). Biomarcadors derivats de imatges de difusió i relaxometria van contribuir de distints estats experimentals. També s'han identificat aspectes innats que estan relacionades amb posterior preferències d'alcohol o la relació entre la resposta al tractament anti-recaiguda i les dades de ressonància magnètica. En resum, al llarg de aquest treball, es demostra que l'ús de dades de ressonància magnètica multimodal en models animals combinats en esquemes analítics multivariats són una eina molt valida en l'enteniment i avanç de patologies psiquiàtriques com l'alcoholisme. / Cosa Liñán, A. (2017). Analytical fusion of multimodal magnetic resonance imaging to identify pathological states in genetically selected Marchigian Sardinian alcohol-preferring (msP) rats [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/90523 / TESIS

No description available.

IMPACT (Integrated Management of Physician-Delivered Alcohol Care for Tuberculosis patients) is a randomized, controlled effectiveness trial based in Tomsk, Russia, that assesses the effect of oral naltrexone and brief behavioral counseling on tuberculosis outcomes and alcohol use in 200 patients. Tuberculosis physicians without addiction experience delivered interventions as part of routine care over a 6-month period, focusing on alcohol intake reduction to support successful tuberculosis treatment. We describe design, training, and fidelity monitoring using a Russian and American team of physicians, bilingual coders, and supervisors. Culturally appropriate adaptations, limitations, and implications for future trials are discussed. The clinical trial identification number is NCT00675961. Funding came from the National Institutes of Health and National Institute on Drug Abuse.