ABSTRACT
OBJECTIVES: Alcohol consumption affects sleep both in healthy populations and in patients with alcohol use disorder (AUD). However, sleep has typically not been considered within AUD pharmacotherapy trials. We used data from a completed gabapentin clinical treatment trial to explore the medication's effect on patient-rated insomnia measured by a standard insomnia rating (Insomnia Severity Index [ISI]) and whether this influenced gabapentin's effects on alcohol consumption. METHODS: This study included 90 individuals with current Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition AUD criteria reporting current or past alcohol withdrawal. Participants were assigned to placebo or gabapentin (up to 1200 mg/day) for a 16-week randomized controlled trial with percent heavy drinking days (PHDD) and percent abstinent days (PDA) as outcomes. Utilizing mixed-effects models, this study assessed medication effects on ISI over the trial. We then examined the interaction of baseline ISI and medication on drinking. Finally, given our previous finding of alcohol withdrawal influencing gabapentin efficacy, we added change in ISI as a potential "moderator" of the interaction of medication effects and alcohol withdrawal on drinking. RESULTS: Sleep (ISI) improved more in those treated with gabapentin (60.6% reduction) compared with placebo (37.8% reduction; P = 0.013). Higher baseline ISI predicted drinking in gabapentin-treated individuals (lower PHDD [P = 0.026] and higher (PDA [P = 0.047]). ISI was an independent predictor of PHDD decrease and PDA increase (P < 0.001; P = 0.002), but this did not significantly moderate gabapentin's effectiveness. CONCLUSIONS: Although gabapentin positively impacts both alcohol use and sleep, its effect on drinking is not fully dependent on sleep improvement, implying a direct biological mechanism on alcohol use.
ABSTRACT
In vivo exposures (IVEs) are a key component of exposure-based treatments, during which patients approach fear-provoking, yet safe, situations in "real life." This pilot study assessed the use of a wearable technology (Bio Ware) during IVEs to enhance Prolonged Exposure (PE) therapy for PTSD. Bio Ware provides a clinician dashboard with real-time physiological and subjective data for clinicians to use for virtually guided IVEs. Participants (N = 40) were randomized to a Guided group that received standard PE and virtual, clinician-guided IVEs with the Bio Ware device, or a Non-Guided group that received standard PE and used the Bio Ware device on their own for IVEs. Multilevel linear models with bootstrapping were completed on the intent-to-treat (ITT; N = 39) and per-protocol samples (PP; n = 23), defined as completing at least eight sessions of PE and using the Bio Ware system during ≥ 1 IVEs. In the PP sample, there were significant effects of treatment condition (b = -14.55, SE = 1.47, 95% CI [-17.58, -11.78], p < .001) and time (b = -1.98, SE = 0.25, 95% CI [-2.47, -1.48], p < .001). While both groups showed reductions in PTSD symptoms, the Guided group evidenced significantly greater reductions than the Non-Guided group. These findings demonstrate the feasibility and safety of leveraging Bio Ware for virtual, clinician-guided IVEs during PE therapy for PTSD and suggest that virtual, clinician-guided exposures may enhance treatment outcomes. CLINICAL TRIAL REGISTRATION: NCT04471207.
Subject(s)
Stress Disorders, Post-Traumatic , Technology , Humans , Pilot ProjectsABSTRACT
OBJECTIVE: To increase the number of physician-scientists in research, the Drug Abuse Research Training (DART) program at the Medical University of South Carolina offers a 2-year research track for psychiatry residents and a 10-week summer fellowship for students. The goal of this study was to examine program outcomes and alumni diversity levels over DART's 15-year history. METHODS: To date, 215 trainees (44 residents, 171 summer fellows) have completed the program. An anonymous online survey was sent to the 143 program alumni with valid contact information. Survey data included demographic characteristics, post-program research involvement, and self-reported barriers to continued research engagement. RESULTS: Overall survey completion response was 83.5% (N = 122). The alumni included 59.0% women, and 36.1% of respondents identified as a member of a minority racial/ethnic group. Following program completion, 77.0% of the alumni reported continued research involvement. More than half of the alumni reported scientific publications (57.4%) and conference presentations (63.1%) since completing DART. Among respondents who did not subsequently engage in research, the most common modifiable barriers included difficulty finding a mentor, self-perceived deficits in statistical skills and research methodology, and overall lack of confidence in research ability. CONCLUSIONS: Over the past 15 years, the DART program has established a diverse research training program that now spans the educational spectrum from undergraduate to residency training. Future program goals include additional training to address self-reported modifiable research barriers. This program provides a model for other training programs designed to cultivate research interests and promote the diversity of clinical researchers.
Subject(s)
Internship and Residency , Psychiatry , Substance-Related Disorders , Fellowships and Scholarships , Female , Humans , Male , Psychiatry/education , Substance-Related Disorders/therapy , Surveys and QuestionnairesABSTRACT
OBJECTIVE: Although gabapentin has demonstrated efficacy in mitigating alcohol withdrawal symptoms and preventing relapse drinking in individuals with alcohol use disorder (AUD), the neurobiological mechanisms of action underlying these therapeutic effects remain unknown. The present study evaluated changes in GABA and glutamate levels in the dorsal anterior cingulate cortex (dACC) as candidate mechanisms of action. METHODS: In a 16-week randomized clinical trial, 68 adults with AUD, including a history of alcohol withdrawal syndrome, received 1,200 mg/day of gabapentin (N=37) or placebo (N=31) and nine medical management visits after ≥72 hours of abstinence. Proton MR spectroscopy (1H-MRS) estimates of dACC levels of GABA (N=67) and glutamate (N=64) were acquired before start of treatment and again approximately 14 days after randomization. Percent days abstinent was reported via timeline followback interview. RESULTS: The effects of gabapentin on GABA and glutamate levels were significantly associated with participants' percent days abstinent during early treatment. Specifically, gabapentin was associated with greater increases in glutamate and greater decreases in GABA levels in participants who remained mostly or entirely abstinent, and yet the opposite in participants who drank on more than half of the days preceding the second scan. Furthermore, gabapentin-treated participants with greater increases in glutamate levels during early treatment had significantly more percent days abstinent across the remainder of the study, relative to placebo-treated participants. CONCLUSIONS: In addition to providing insight into the mechanisms through which gabapentin may promote abstinence in individuals with AUD, this study also provides evidence for a biomarker of efficacious treatment that may be used to evaluate other glutamatergic or GABAergic medications for AUD and related conditions.
Subject(s)
Alcoholism/drug therapy , Gabapentin/therapeutic use , Glutamic Acid/metabolism , Gyrus Cinguli/drug effects , gamma-Aminobutyric Acid/metabolism , Adult , Double-Blind Method , Female , Gabapentin/pharmacology , Gyrus Cinguli/metabolism , Humans , Male , Middle Aged , Proton Magnetic Resonance Spectroscopy , Substance Withdrawal Syndrome/drug therapyABSTRACT
Importance: Although an estimated 30 million people meet criteria for alcohol use disorder (AUD), few receive appropriate pharmacotherapy. A more personalized, symptom-specific, approach might improve efficacy and acceptance. Objective: To examine whether gabapentin would be useful in the treatment of AUD, especially in those with the most alcohol withdrawal symptoms. Design, Setting, and Participants: This double-blind randomized clinical trial conducted between November 2014 and June 2018 evaluated gabapentin vs placebo in community-recruited participants screened and treated in an academic outpatient setting over a 16-week treatment period. A total of 145 treatment-seeking individuals who met Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) criteria for AUD and were not receiving other AUD intervention were screened, and 96 who also met recent alcohol withdrawal criteria were randomized to treatment after 3 abstinent days. Daily drinking was recorded, and percentage of disialo carbohydrate-deficient transferrin in the blood, a heavy drinking marker, was collected at baseline and monthly during treatment. Interventions: Gabapentin up to 1200 mg/d, orally, vs placebo along with 9 medical management visits (20 minutes each). Main Outcomes and Measures: The percentage of individuals with no heavy drinking days and those with total abstinence were compared between treatment groups and further evaluated based on prestudy alcohol withdrawal symptoms. Results: Of 96 randomized individuals, 90 were evaluable (44 in the gabapentin arm and 46 in the placebo arm), with a mean (SD) age of 49.6 (10.1) years; 69 were men (77%) and 85 were white (94%). The evaluable participants had 83% baseline heavy drinking days (4 or more drinks/day for women, 5 or more for men) and met 4.5 alcohol withdrawal criteria from the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition). More gabapentin-treated individuals had no heavy drinking days (12 of 44 participants [27%]) compared with placebo (4 of 46 participants [9%]), a difference of 18.6% (95% CI, 3.1-34.1; P = .02; number needed to treat [NNT], 5.4), and more total abstinence (8 of 44 [18%]) compared with placebo (2 of 46 [4%]), a difference of 13.8% (95% CI, 1.0-26.7; P = .04; NNT, 6.2). The prestudy high-alcohol withdrawal group had positive gabapentin effects on no heavy drinking days (P < .02; NNT, 3.1) and total abstinence (P = .003; NNT, 2.7) compared with placebo, while within the low-alcohol withdrawal group, there were no significant differences. These findings were similar for other drinking variables, where gabapentin was more efficacious than placebo in the high-alcohol withdrawal group only. Gabapentin caused more dizziness, but this did not affect efficacy. Conclusions and Relevance: These data, combined with others, suggest gabapentin might be most efficacious in people with AUD and a history of alcohol withdrawal symptoms. Future studies should evaluate sleep changes and mood during early recovery as mediators of gabapentin efficacy. Trial Registration: ClinicalTrials.gov Identifier: NCT02349477.