Publications by authors named "Tarter R"

Purpose: Substance use disorders (SUDs) increase the risk and severity of infectious diseases, including coronavirus disease 2019 (COVID-19). Adults with a co-occurring SUD and psychiatric disorder were studied to elucidate the association between SUD severity and (1) COVID-19 vaccination status, (2) receptivity to a one-session intervention with a pharmacist advocating the benefits of vaccination, and (3) acceptance of referral for vaccination following the intervention.

Methods: COVID-19 vaccination status was recorded in 460 adults with SUD (324 males and 136 females) upon entry into inpatient treatment.

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Background: An intersectional approach to health research provides an analytical foundation to explain the multidimensionality of health status, resource accessibility, privilege, oppression, and current and historical context. The use of intersectionality in health research has known limitations. Its use in health-related fields too often focuses on outcomes, such as health disparities, rather than processes, such as power structures and social determinants.

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Background And Aims: Patient navigation (PN) may benefit pregnant individuals with opioid use disorder (OUD) by improving treatment adherence. We examined participant enrollment, session delivery and assessment feasibility for a PN intervention among pregnant participants and compared PN preliminary effectiveness for OUD treatment engagement with participants in usual care (UC).

Design: This study was a pilot single-blinded multi-site randomized trial.

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Objective: Disinhibitory behavior during childhood and adolescence has been frequently shown to amplify the risk for substance use disorder (SUD) in adulthood. This prospective study examined the hypothesis that poor communication with parents and association with deviant peers comprise an SUD-promoting environtype which catalyzes transition of disinhibitory behavior toward SUD.

Method: Male (N = 499) and female (N = 195) youths were tracked from 10 to 12 to 30 years of age.

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The association between physical inactivity and substance use throughout adolescence was prospectively investigated in relation to developing cannabis use disorder (CUD). Physical inactivity and substance use in males (N = 462) and females (N = 178) were measured at 12-14, 16, 19, and 22 years of age in a repeated measures design. A structured diagnostic interview was administered to formulate current CUD diagnosis at 22 years of age.

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Background: >1 in 3 of the 9 million individuals engaged in opioid medication misuse obtain legitimate opioid prescriptions and fill these in community pharmacies, which are subsequently misused. This study is testing the efficacy of a pharmacist-led intervention-Brief Intervention-Medication Therapy Management (BI-MTM)-compared to standard medication counseling (SMC) to address opioid medication misuse.

Methods: Design.

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Adolescent cannabis use is an established risk factor for the development of psychosis, but the premorbid vulnerability factors and specificity versus generality of the psychotic symptom domains affected in cannabis-psychosis relationships remain incompletely understood. To improve our understanding of these relationships, we used longitudinal data to examine the individual and interactive effects of preadolescent transmissible liability to substance use disorders (SUD), measured the transmissible liability index (TLI), and adolescent cannabis use on the development of two distinct psychotic symptom domains, paranoid and schizotypal personality traits in young adulthood. We performed secondary analysis of data from the Center for Education and Drug Abuse (CEDAR) study, which longitudinally assessed offspring of men with ( = 211) and without ( = 237) lifetime history of SUD at ages 10-12, and across adolescence as they transitioned to young adulthood.

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Aims: We aim to establish the feasibility and acceptability of the Tele-STELLA (Support via Telehealth: Living and Learning with Advancing Alzheimer's Disease and Related Dementias) intervention. We will also assess the efficacy of the intervention in reducing the frequency of behavioural symptoms of dementia as well as family Care Partner reactivity to the symptoms.

Design: This is a multi-component, quasi-experimental study that focuses on facilitating effective management of behavioural symptoms that occur in the later stages of dementia.

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Providing unpaid care labor to older adult friends and relatives is associated with deleterious health outcomes, especially among persons who feel they have no choice when taking on care responsibilities. We used hierarchical cluster analysis and structural equation modeling of data from the National Alliance for Caregiving's Caregiving in the U.S.

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Background: Engaging with nature can profoundly impact psychological and physiological health of persons across the lifespan. Greenspace interventions (GSI) encompass a broad range of strategic, nature-based activities for overall health and wellbeing. Within the past 20 years there has been a growing interest in the access to and management of greenspace to mediate the deleterious impact of acute and chronic stress, particularly, physiologic biomarkers of stress such as cortisol.

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Purpose: Adults with hepatocellular carcinoma (HCC) have a high symptom burden. Their quality of life (QOL) has been shown to be significantly impacted by both the disease and its treatment, adding to the high symptom burden that these patients experience. The primary aims of this paper are as follows: (1) to identify how QOL is being defined in HCC literature and (2) to identify how QOL is being measured in the HCC literature using Ferrell's model of QOL.

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Article Synopsis
  • The study investigates the genetic basis of cannabis use disorder, revealing a strong heritable component (50-70%) and its association with negative mental health outcomes.
  • A large-scale genome-wide association study (GWAS) was conducted using a significant sample size, identifying two important genetic loci linked to cannabis use disorder.
  • Findings suggest that while there is a genetic correlation between cannabis use and cannabis use disorder, they are genetically distinct, with cannabis use disorder being linked to other psychiatric issues like ADHD, depression, and schizophrenia.
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Self-regulation is considered a major predictor of crime and deviant behavior. However, longitudinal research investigating these associations, frequently looked only at the effect of self-regulation on deviant behavior, but not the other way around. The current study argued that deviance may contribute to later problems in self-regulation, and examined bidirectional associations, comparing a unidirectional and bidirectional model of associations between these variables.

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Objective: To evaluate the accuracy of detecting 16-year-old male (n = 465) and female (n = 162) youths who subsequently manifest opioid use disorder (OUD) at 25 years of age. We hypothesized that the combined measures of 2 components of etiology, heritable risk, and substance use, accurately detect youths who develop OUD.

Study Design: Heritable risk was measured by the transmissible liability index (TLI).

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Article Synopsis
  • Researchers analyzed data from genome-wide association studies (GWAS) to explore genetic correlations across four eating disorder types and eight substance-use-related traits, involving large sample sizes ranging from ~2400 to ~537,000 participants.
  • Findings indicated positive genetic associations between anorexia nervosa and alcohol use disorder, as well as cannabis initiation, while some negative correlations were found between anorexia without binge eating and smoking behaviors, suggesting a complex relationship between these disorders influenced by genetic and possibly depressive factors.
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Severity of substance use disorder (SUD) is typically evaluated by tabulating the number of symptoms. The resulting estimate of disorder severity is, however, biased due to intercorrelations among symptoms and their unequal salience. .

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Background: Substance use disorder (SUD) exacts enormous societal costs in the United States, and it is important to detect high-risk youths for prevention. Machine learning (ML) is the method to find patterns and make prediction from data. We hypothesized that ML identifies the health, psychological, psychiatric, and contextual features to predict SUD, and the identified features predict high-risk individuals to develop SUD.

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The opioid crisis continues to affect pregnant and postpartum women the United States, with the number of pregnant women diagnosed with opioid use disorder (OUD) quadrupling over the last decade. The associated increase in morbidity and mortality among mother and baby warrants prompt, targeted intervention efforts that improve engagement, linkage of care, and treatment retention. Patient navigation (PN) is a chronic care intervention that can directly address this need by helping women identify medical, behavioral, and psychosocial care goals.

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Background: Stemming the opioid epidemic requires testing novel interventions. Toward this goal, feasibility and acceptability of a Brief Motivational Intervention-Medication Therapy Management (BMI-MTM) intervention was examined along with its impact on medication misuse and concomitant health conditions.

Methods: We conducted a two-group randomized trial in 2 community pharmacies.

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Background: This longitudinal study explored the utility of machine learning (ML) methodology in predicting the trajectory of severity of substance use from childhood to thirty years of age using a set of psychological and health characteristics.

Design: Boys (N = 494) and girls (N = 206) were recruited using a high-risk paradigm at 10-12 years of age and followed up at 12-14, 16, 19, 22, 25 and 30 years of age.

Measurements: At each visit, the subjects were administered a comprehensive battery to measure psychological makeup, health status, substance use and psychiatric disorder, and their overall harmfulness of substance consumption was quantified according to the multidimensional criteria (physical, dependence, and social) developed by Nutt et al.

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Background: With increases in marijuana use and legalization efforts, it is imperative to establish its impact on the developing brain. Therefore, we investigated whether exposure to marijuana alters brain derived neurotropic-factor (BDNF), given its critical role in brain development and plasticity. We then examined whether onset age of cannabis use was associated with more severe changes.

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Liability to alcohol dependence (AD) is heritable, but little is known about its complex polygenic architecture or its genetic relationship with other disorders. To discover loci associated with AD and characterize the relationship between AD and other psychiatric and behavioral outcomes, we carried out the largest genome-wide association study to date of DSM-IV-diagnosed AD. Genome-wide data on 14,904 individuals with AD and 37,944 controls from 28 case-control and family-based studies were meta-analyzed, stratified by genetic ancestry (European, n = 46,568; African, n = 6,280).

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This study examined correspondence between timing (onset) and tempo (rate) of sexual maturation prospectively (average ages 11-16 years) measured by gonadal hormones and secondary sex characteristics (Tanner stage) using dual-process models, and associations of these measures with substance use (SU) involvement in boys at age 16 years (N = 534, 77.5% White/22.5% Non-White).

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Objectives: Community pharmacy continues to play a crucial role in the national response to the opioid epidemic. The purpose of this article is to describe the protocol for a pilot study that is examining the feasibility and acceptability of the Motivational Intervention-Medication Therapy Management (MI-MTM) model. This study also examines the preliminary clinical effect of MI-MTM for improving opioid medication misuse and patient activation in self-management of health conditions that increase risk for misuse.

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Objectives: The public health burden of opioid use disorder (OUD) among pregnant women has significantly increased in recent years. The Optimizing Pregnancy Treatment Interventions for Moms study was a pilot project that examined the feasibility of a patient navigation (PN) intervention model to reduce substance use and improve mental health, quality of life, and to increase engagement with treatment services among pregnant women with OUD.

Methods: A 1-group repeated-measures pilot study was conducted with treatment-seeking pregnant women with opioid dependence initiating buprenorphine maintenance treatment.

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