Abstract
Introduction
Current treatments for alcohol use disorders (AUD) have limited efficacy. A previous 28-day pilot trial of N-acetyl cysteine (NAC) vs placebo found NAC to be feasible and safe, with evidence of improvement on some measures of alcohol consumption. Thus, the primary aim of the NAC-AUD study is to examine the therapeutic and cost-effectiveness of NAC vs placebo in improving treatment outcomes for AUD. We will also examine the (i) effect of NAC vs placebo on mood, markers of liver injury, cognition and hangover symptoms; and (ii) predictors of any response.
Methods and analysis
This double-blind trial will randomise participants with AUD to a 12-week regimen of either NAC (2400 mg/day) or placebo. All participants will receive medical management. The primary drinking outcome will be the number of heavy drinking days (HDDs) per week, validated by phosphatidylethanol (PEth). Secondary alcohol-related outcomes will include standard drinks per drinking day (SDDD) per week and absence of any HDDs. Other secondary outcomes will include markers of liver injury, depression, anxiety, craving, hangover symptoms, cognition and blood oxidative stress markers. We will also examine the cost-efficacy of NAC vs placebo.
Ethics and dissemination
Ethics approval for the study has been granted by The Sydney Local Health District Ethics Review Committee (X21-0342& HREC2021/ETH11614). There are no restrictions on publication from the sponsor or other parties.
Trial registration number
Keywords: MENTAL HEALTH, PSYCHIATRY, Substance misuse
STRENGTHS AND LIMITATIONS OF THIS STUDY.
First well-powered multi-site study using a double-blind randomised controlled design to assess the therapeutic and cost-effectiveness of N-acetyl cysteine (NAC) for the treatment of alcohol use disorder (AUD).
The trial will also examine the effectiveness of NAC on a range of salient comorbid conditions and symptoms associated with AUD, including liver disease, mood, sleep, hangover and cognition.
This trial will use the gold standard objective biomarker phosphatidylethanol to validate alcohol consumption data.
Examined the effectiveness of a potential medication that may be suitable for comorbidities in AUD.
Stratification of relevant characteristics and measurement of secondary outcomes may provide clinically important information about patient groups that are likely to benefit from NAC treatment. However, subgroup analyses may not be sufficiently powered to determine a personalised approach to treatment.
Introduction
Alcohol misuse is a significant concern worldwide, being implicated in many physical and mental health conditions and accounting for approximately 5.3% of total global mortality.1 Alcohol use disorder (AUD) is defined as a pattern of heavy and excessive alcohol consumption that leads to negative biological, behavioural, health and social consequences.2 There are currently several pharmacotherapies available to treat the core symptoms of AUD and reduce consumption.3 However, the effectiveness of these pharmacotherapies is generally modest4 and they are not suitable for patients with alcohol-related liver disease (ArLD) which is a common comorbidity with high mortality.5 Emerging medications that are generally safe for those with liver disease, such as baclofen, may not be appropriate in patients with common comorbid psychiatric conditions and those at risk of overdose.6 7 Other emerging medications, such as topiramate, which might be at least as effective if not superior to front-line naltrexone,8 may not be appropriate for patients with physical complications such as liver disease, kidney disease or other risks for metabolic acidosis. Further development of new and effective treatments suitable for a diverse range of patients with AUD and their complexities is urgently required.
N-acetyl cysteine (NAC) is an over-the-counter antioxidant, is widely used by intravenous infusion for the treatment of acetaminophen overdose and may be a potential treatment for AUD.9 NAC has been demonstrated to replenish the intracellular levels of glutathione (GSH), a key antioxidant synthesised in cells and interacts with reactive oxygen species.10 Oxidative stress and neuroinflammation are tightly associated with chronic alcohol intake and relapse.11 AUD individuals demonstrate elevated oxidative stress markers and an inflammatory cytokine profile12,14 and which have also been observed to be predictive of future heavy drinking.15 NAC is also thought to normalise expression of the glutamate transporter (GLT-1) and cystine-glutamate exchange, restoring glutamate homeostasis, a neurotransmitter thought critical in the development and persistence of severe AUD. Chronic alcohol intake leads to reduced GLT-1 protein levels and disruption of glutamatergic input from the prefrontal cortex to reward areas.16 To this end, NAC has been demonstrated to modulate alcohol-related behaviours across a range of animal models, including (i) ethanol self-administration and intake,17 18 (ii) symptoms of ethanol withdrawal19 and (iii) alcohol reacquisition following abstinence from ethanol.17 18 Furthermore, preclinical studies neatly show that NAC administration inhibits neuroinflammation induced by chronic ethanol intake19 and fully abolishes elevated ethanol-induced oxidative stress.11
Clinical studies involving a range of neuropsychiatric disorders have demonstrated that NAC is well tolerated and has a good safety profile.20 Signs of efficacy have been observed for disorders similarly associated with impulse control including gambling disorder21 and skin picking,22 although these studies were relatively small. There have been several randomised controlled trials in substance use disorders with mixed results. For example, trials have reported decreases in daily smoking and alleviation of depression in tobacco use disorder,23 improvements of abstinence and dependence severity in cocaine users,24 but no improvements in any clinically relevant measure for methamphetamine dependence.25 One trial of NAC to optimise methadone maintenance therapy for individuals with substance use disorder reported significant improvements in anxiety and depression.26 Meta-analyses have concluded that NAC may provide some benefits in attenuating substance craving and might help alleviate symptoms associated with depression and alcohol withdrawal syndrome.27
There have been no full-length randomised controlled trials (RCTs) of NAC in patients seeking treatment for AUD to date, although studies among individuals without AUD indicate some promise. In a human laboratory study, Coppersmith et al28 examined relatively low dose (600–1800 mg) of NAC vs placebo on mitigating hangover symptoms in healthy controls and reported improvement after NAC vs placebo among female participants. A secondary analysis of alcohol consumption in individuals with cannabis use disorder randomised to NAC (2400 mg/day) vs placebo found significant increases in alcohol abstinence and reduction in weekly drinking days for NAC vs placebo.29
Our team recently conducted a proof-of-concept pilot trial of NAC vs placebo over 28 days among heavy drinking, treatment-seeking individuals with AUD, specifically reporting on feasibility and clinical outcomes in an outpatient context.30 We reported that NAC appears to be feasible and safe, with no significant differences in overall retention between treatment groups and minimal adverse events. There was a significant effect of NAC vs placebo on some measures of alcohol consumption; however, a variable pattern of effect across time indicated that a larger trial for a longer treatment duration was required to determine efficacy.
Accordingly, the NAC-AUD study aims to be the first, well-powered double-blind, randomised trial that examines the treatment and cost-effectiveness of NAC vs placebo (PL) in improving outcomes in active drinkers. The trial also aims to examine the effectiveness of NAC vs PL on a range of salient comorbid conditions and symptoms associated with AUD, including liver disease, mood, sleep, hangover and cognition. Specifically, we hypothesise that (i) NAC-treated participants compared with PL will significantly reduce their alcohol consumption, with the primary outcome measure being the number of heavy drinking days and secondary alcohol measures being drinks per drinking day and absence of heavy drinking day (HDD); (ii) NAC treatment will be more cost-effective than PL; (iii) comorbid clinical conditions (eg, alcohol-related liver disease, depression, anxiety, sleep disturbances and suicidal ideation), hangover symptoms, cognitive functioning and markers of oxidative stress (such as glutathione peroxidase (GPx) activity in blood cells) will be significantly improved in NAC-treated patients compared with PL; and (iii) beneficial NAC treatment response will be associated with blood markers of oxidative stress and comorbid clinical condition severity (eg, alcohol-related liver disease, depression).
The current article presents the protocol for the NAC-AUD RCT whereby prospective reporting contributes to clinical trial quality31 and is written to comply with the recommended Standard Protocol Items: Recommendations for Interventional Trials guidelines for RCT protocols.32 Results of this study will add to the current alcohol pharmacotherapy literature by providing high-quality data regarding the efficacy and cost-efficacy of this low cost and accessible medication. While the use of an objective laboratory marker of alcohol use is not novel and has been recommended for all alcohol treatment trials,33 this will be the first NAC trial to use phosphatidylethanol for this purpose. Furthermore, the secondary outcomes to be evaluated in this trial will provide clinically important information about patient groups that are likely to benefit from NAC treatment. Improving the therapeutic benefit of pharmacotherapy for AUD remains a challenge particularly given the presence of comorbidities that may be contra-indicated for certain medications. The NAC-AUD trial thus has the potential to facilitate the development of alternate pharmacotherapy options for AUD, including those with multiple comorbidities.
Methods and analysis
Study objectives
We are conducting a 12-week, double-blind, randomised controlled trial to examine the effectiveness of N-acetyl-cysteine (NAC, 2400 mg/day) vs PL in improving treatment outcomes in heavy drinkers.
Patient recruitment
The trial is being conducted in several outpatient hospital and community settings across New South Wales, Queensland and Victoria, Australia. We aim to recruit up to 180 participants on a rolling basis through clinical referral (from treating clinicians of participating hospitals and community clinics) and via flyers/community advertisements in general practices, newspapers, websites (eg, Gumtree) and social media (eg, Facebook). Based on our previous experience, recruitment from mixed sources does not significantly impact treatment retention or outcome in alcohol pharmacotherapy trials.34 Participant time and travel expenses are reimbursed at the follow-up research assessments.
Randomisation and allocation concealment
The study is a double-blind, RCT with participants randomised to receive one of two possible medication arms. The study is conducted under double-blind conditions so that participants and study staff are unaware of medication assignment. A computer-generated random allocation to NAC or placebo will be provided by an independent service inbuilt to RedCap software and stratified by site, smoking, sex, alcohol-related liver disease and medications for mood disorders. This is provided to the Clinical Trials Pharmacist at each site for intervention allocation and medication dispensing. In the event of a medical emergency that requires knowledge of the treatment condition, the investigators can contact the pharmacist to break the randomisation code for that individual.
Inclusion and exclusion criteria
Inclusion criteria: (a) age 18 to 70 years; (b) alcohol use disorder according to Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria; (c) a desire to reduce or stop drinking; (d) adequate cognition and English language skills to give valid consent and complete research interviews; (e) average weekly alcohol consumption of >21 standard drinks, with a weekly average of >2 heavy drinking days (HDDs: ≥5 standard drinks/day for men; ≥4 for women) during the month before screening; (f) written informed consent; (g) stable housing.
Exclusion criteria: (a) pregnancy or lactation—women are advised to use reliable contraception for the duration of drug therapy and a urine pregnancy test is performed as appropriate; (b) concurrent use of any psychotropic medication other than antidepressants (provided that these are taken at stable doses for at least 2 months); (c) any substance use disorder other than nicotine; (d) clinically unstable systemic medical condition (eg, cancer, end-stage liver disease: for example, Model for End-stage Liver Disease score ≥10 or clinician judgement) or psychiatric disorder (eg, active psychosis, borderline personality disorder, active suicide risk—as assessed by Structured Clinical Interview for DSM-5 – Research Version [SCID-5-RV] or clinician judgement) that precludes trial participation; (e) concurrent use of selenium, vitamin D or other antioxidants; (f) any alcohol pharmacotherapy within the past month.
Pharmacotherapy schedule
The dosage of NAC is 2400 mg/day in two divided daily doses of 1200 mg (2×600 mg capsules) determined by the following: (i) greater signals of efficacy occur with 2400 mg vs lower doses without any difference in the adverse event profile; and (ii) two divided daily doses of 1200 mg (2×600 mg capsules) were administered in the pilot trial by this team yielding early signals of efficacy.30 NAC is available over the counter in Australia and was purchased from PharmaZell in Germany. The optimal comparator group is placebo given that the NAC-AUD trial will include comorbidities such as alcohol-related liver disease that may be unsuitable for currently available ‘active’ comparator pharmacotherapies. The placebo used in this trial is dicalcium phosphate, given the similar bulk and density to NAC.
Medications are over-encapsulated to maintain the double-blind and participants are instructed to take two capsules in the morning and evening. At the end of the 12-week treatment period, the participant, clinician and the researcher are asked to record the drug the participant is thought to have received. Limiting the dose is permitted according to clinician judgement and is recorded in order to optimise treatment outcomes by minimising side effects and maximising adherence. Any participants who wish ongoing treatment are offered open-label pharmacotherapy at their own expense subject to the judgement of their clinicians. Clinical data for any such individuals are being collected.
Medical management
At each treatment visit, all participants receive 20–30 min of medical management (MM), which was developed for the COMBINE Trial as a medically oriented intervention to maximise medication adherence in the treatment of AUD.35 Clinicians with minimal specialty training who are knowledgeable about AUD can deliver this brief, effective and widely used intervention. MM is thus feasible in all study sites and unlikely to obscure a medication effect on drinking outcomes. In MM, the clinician highlights the participant’s symptoms related to problematic alcohol use and the need for treatment. The participant is advised to reduce or stop drinking, is educated briefly about alcohol-related disorders, is provided a rationale to take medication, is instructed on the importance of medication adherence and is given information on the medications. Participants are not permitted to commence concurrent psychotherapy outside of the trial or, if necessary, they will be encouraged to defer commencement until at least the second half of the trial. Previous trials indicate this number to be low but nonetheless, such cases will be included as covariates in sensitivity analyses. The research nurse also checks the participant’s breath alcohol level, vital signs and weight, medication adherence, drinking and smoking, and general functioning and obtains a urine sample for measure of medication adherence. Participants provide reports of side effects at each study visit. Participants are asked to return unused study medication at each treatment visit for capsule counts and usage is recorded.
Procedures and schedule of visits
Participants are initially assessed by a medical officer. If clinically indicated, participants are offered withdrawal management. Eligible participants are then offered further screening. The schedule of enrolment, interventions and assessments is depicted in table 1.
Table 1. The schedule of enrolment, interventions and assessments.
| Visit | Visit 1a—screening | Visit 1b—baseline | Visit 2 | Visit 3 | Visit 4 | Visit 5 | Visit 6—EOT | Visit 7—FU | |
|---|---|---|---|---|---|---|---|---|---|
| Time from baseline | – | 0 | Week 1 | Week 3 | Week 6 | Week 9 | Week 12 | Week 24 | |
| Informed consent & assessment of eligibility | X | ||||||||
| Pregnancy test—urine (if applicable) | X | ||||||||
| Medical examination | X | X | X | ||||||
| Demographics | X | ||||||||
| Questionnaires | SCID-5-RV, MoCA, | X | |||||||
| SAPAS | X | ||||||||
| FTND | X | ||||||||
| ADS, DrInC-2L | X | X | X | ||||||
| BITe, CIS, EQ-5D-5L, HSUQ, IPAQ-Long, PCL-5, SCWT, SF-36, SIDAS, TMT | X | X | X | ||||||
| ACEQ, AHS, DASS, ISI, TLFB (alcohol & smoking) | X | X | X | X | X | X | X | ||
| DrInC-2R | X | X | |||||||
| Medical management—incl. AEs | X | X | X | X | X | X | X | ||
| Medication dispense | X | X | X | ||||||
| Medication adherence | X | X | X | X | X | ||||
| Blood sampling (PEth, LFTs, GPxBC, GSHBC) | X | X | X | X | |||||
Time between screening and baseline testing <7 days.
ACEQ, Alcohol Craving Experience Questionnaire; ADS, Alcohol Dependence Scale; AEs, adverse events; AHS, Alcohol Hangover Scale; BITe, Brief Irritability Test; CIS, Cognitive Impulsivity Suite; DASS, Depression, Anxiety & Stress Scale; DrInC-2R/2L, Drinker Inventory of Consequences – Recent/Lifetime; EOT, End of Treatment; EQ-5D-5L, EuroQol Health-Related Quality of Life Questionnaire 5-Level; FTND, Fagerstrom Test for Nicotine; FU, Follow Up; GPxBC, Glutathione Peroxidase Blood Cells; GSHBC, Glutathione Blood Cells; HSUQ, Health Service Use Questionnaire; IPAQ-Long, International Physical Activity Questionnaire – Long; ISI, Insomnia Severity Index; LFTs, Liver Function Tests; MoCA, Montreal Cognitive Assessment; PCL-5, PTSD Checklist for DSM-5; PEth, phosphatidylethanol; SAPAS, Standardised Assessment of Personality Abbreviated Scale; SCID-5-RV, Structured Clinical Interview for DSM-5 – Research Version; SCWT, Stroop Color and Word Test; SF-36, Short Form 36; SIDAS, Suicidal Ideation Attributes Scale; TLFB, Timeline Follow-Back; TMT, Trail Making Test.
Visit 1a (screening visit): At the screening visit (visit 1), participants are asked to provide informed consent by the research nurse (see online supplemental Material). The research nurse obtains a structured medical and psychiatric history. Blood and urine samples are taken for clinical laboratory evaluations (see below).
Visit 1b (baseline visit): After screening (<7 days), during which time blood sampling and, if necessary, alcohol withdrawal management are completed, eligible participants undergo a research evaluation (90–120 min). A study physician performs a physical examination.
Visits 1b-7 (treatment and follow-up visits): Participants receive initial medical management and study medication during the first treatment session on the same day as the baseline visit. Participants are given either NAC or PL. During the 12-week treatment period, participants return for medical management and medication dispensing at weeks 1, 3, 6 and 9. They return for the final follow-up medical review and research appointments at week 12 and 24.
Study assessments
Medical/laboratory tests: These tests screen participants for exclusion criteria, assess potential adverse effects, provide objective measures of alcohol use and assess covariates and secondary outcome measures. The physical examination at baseline includes blood pressure and cardiovascular examination, signs of alcohol-related liver disease, weight and height, a brief neurological examination and a mental state examination. Blood and urine are obtained at screening and at weeks 6, 12 and 24. Laboratory tests include urinalysis, urine toxicology, full blood count, liver function tests (LFTs: bilirubin, gamma-glutamyl transferase, alkaline phosphatase, aspartate aminotransferase, alanine aminotransferase, albumin, protein), coagulation tests, creatinine, redox markers (GPx blood cells, GSH blood cells) and phosphatidylethanol (PEth). All abnormal findings are reviewed by the physician and participation is endorsed or further evaluation performed as clinically indicated. Blood samples are also collected and stored for exploratory analyses relating to the current trial and for future use in ancillary studies.
Questionnaires and tasks: At baseline, demographics, medical history, personal and family history of AUD, and alcohol treatment history are obtained as in our previous trials.36,39 Psychiatric diagnostic information is obtained with the SCID-5-RV.40
The following measures are implemented at baseline and follow-up (see table 1):
Characteristics of alcohol use disorder (baseline and follow-up): (i) recent (last 30 days) alcohol consumption (frequency/quantity) assessed by the Timeline Follow-Back method (TLFB).41 We also measure tobacco use using the TLFB; (ii) severity of alcohol dependence assessed by the Alcohol Dependence Scale (ADS);42 (iii) craving for alcohol measured by the Alcohol Craving Experience Questionnaire (ACEQ);43 (iv) the Drinker Inventory of Consequences (DrInC-L: baseline; R: follow-up)44 provides a measure of the social, physical and emotional consequences of alcohol use; and (v) Fagerstrom Test for Nicotine Dependence45 to measure nicotine dependence.
Mental health: (i) the Depression, Anxiety & Stress Scale (DASS) measures the severity of symptoms of depression, anxiety and stress;46 (ii) sleep problems are assessed by the Insomnia Severity Index;47 (iii) Post Traumatic Stress Disorder (PTSD) checklist for DSM-5 (PCL,48) is used to measure symptoms of PTSD; (iv) Brief Irritability Test49 is used to measure irritability (BITe); (v) Suicidal Ideation Attributes Scale (SIDIS) is used to measure suicidal ideation50 ; (iv) Standardised Assessment of Personality Abbreviated Scale (SAPAS) is used to screen for personality disorders.51
Cognitive and executive function: (i) The Montreal Cognitive Assessment (MoCA) is used to screen for cognitive impairment (<24/30 excluded) that is likely to preclude the completion of study procedures and treatment;52 (ii) The Trail Making Test53 is used to measure the speed of processing and executive functioning; (iii) The Stroop Color and Word Test (SCWT) is used to measure executive functioning and capacity to inhibit cognitive interference.54
Physical health: (i) Health outcomes are measured using the EuroQol-5 Dimension (EQ-5D-5L) questionnaire55 and Short Form 36 (SF3656); (ii) Health and Service Use Questionnaire (HSUQ); and (iii) International Physical Activity Questionnaire – Long (IPAQ-L57).
We also collect daily drinking, medication usage and hangover symptoms once daily (adapted from the Alcohol Hangover Scale (AHS,58) via Smartphone Ecological Momentary Assessment) (SEMA3).
Assertive follow-up is employed to obtain data for all randomised participants regardless of whether they discontinue study medication and study visits. Follow-up data may be obtained by telephone in such cases.
Side-effects monitoring: Safety will be analysed using categorical outcomes, defined by the type and severity of adverse effects. Participants will provide side effects reports at each visit using the Systematic Assessment for Treatment Emergent Effects (SAFTEE) interview,59 a widely used measure of adverse events60 and for which a standardised approach exists for alcohol trials.61 Summary measures will then be developed.
Data and Safety Monitoring
Adverse events are collected at every study visit and the site investigator rates their relationship to medication. Serious adverse events are defined as by the Therapeutics Goods Administration (TGA).62 If serious or unexpected adverse events occur during the trial, they are reviewed by the principal investigator and the trial team and reported within the specified time frames to the lead hospital ethics review committee (ERC) and to the Data and Safety Monitoring Board (DSMB). The DSMB comprises three members independent of the research study and funding body and meets regularly to provide oversight and monitoring to ensure participant safety and trial validity and integrity. The DSMB can request that the trial be terminated by the principal investigator in the event of safety concerns. Participants are assigned a code and their information de-identified in password-protected documents.
Outcomes
Primary outcome: The primary outcome is alcohol consumption expressed as self-reported number of heavy drinking days per week, defined as >four drinks for women, >five drinks for men (where a single standard drink is defined by 10 g of ethanol). Any conflicting information will be validated by collateral reports and measurement of biological markers of alcohol consumption (PEth).
Secondary outcomes: Secondary alcohol outcomes include number of standard drinks per drinking day (SDDD) and absence of HDDs. We will also compare NAC vs PL on craving (ACEQ), alcohol dependence severity (ADS). Other secondary outcomes include adverse events, markers of liver injury (LFTs), levels of anxiety and depression (DASS), suicidal ideation (SIDAS), hangover symptoms (AHS), sleep disturbances (ISI) and cognitive functioning. We will explore the degree to which these clinical characteristics moderate treatment response and the mechanisms underlying these phenomena.
Data analysis
Sample size calculations: A total of 180 AUD participants will be recruited for this study. We consider power for the primary outcome measure, HDD per week (analysed over 12 weeks). We regard Poisson means as approximately normally distributed, with variances equal to the means, adapting the methods of Hedeker et al.63 We consider power for a two-sided test at α=0.05, with n=180. We assume a within-subject correlation of 0.4, based on prior studies.7 For the effect of NAC vs placebo (treatment × time), we have >80% power to detect a small to medium effect where the groups separate to a small to medium effect (d=0.3) by week 12.
Statistical analysis: All available data from participants who took at least one dose of medication will be used to follow intention-to-treat principles. The primary outcome measure is frequency of HDDs (defined above), a sensitive, clinically relevant measure in alcohol trials.64 The two groups will first be compared for repeated measures of HDD frequency/week (weekly) using mixed effects models for count responses. Models can also be extended to allow for zero inflation, if patterns of abstinence yield more zero counts of HDDs than can be accommodated by a Poisson model. Secondary outcomes will also be examined using mixed models. Additional covariates and predictors will be included for sensitivity analyses. Categorical variables will be compared using a χ² test. Participants will be followed irrespective of whether they continue to receive treatment. As with all alcohol treatment studies, we anticipate some participant dropout and intermittent missing data which will be estimated through multiple imputation and assessed via sensitivity analysis.
Cost-effectiveness analysis (CEA): A cost-efficacy analysis will be conducted from both health sector and societal perspectives. As per our previous work, the primary outcome will be Quality Adjusted Life Years calculated from the Short Form 36. Participants will be consented for access to data on healthcare service use through Medicare and Pharmaceutical Benefits Schedules. A brief Health Services Use Questionnaire will capture additional resource use such as hospitalisations and lost productivity. Standardised economic evaluation techniques including incremental analysis of mean differences and bootstrapping to determine confidence intervals will be used. If the intervention is cost-efficacious, modelling techniques will be used to estimate the cost-effectiveness of NAC for the AUD population across Australia.
Ethics and Dissemination
Ethics approval for the study has been granted by The Sydney Local Health District Ethics Review Committee (X21-0342& HREC2021/ETH11614). Participants are provided with an approved plain language information sheet and provide written content to participate. The protocol is version 8. The study involves off-label use of a registered medication in Australia such that approval for this trial has been given under the Clinical Trial Notification (CTN) scheme of the TGA. The trial is sponsored by Sydney Local Health District and was registered with the NIH clinical trials registry on 7 June 2022 (NCT05408247). Participants are advised of their right to seek compensation from the study sponsor in the event of harm arising from trial participation. Protocol amendments to the clinical protocol will be updated to the clinical trials registry following approval by the corresponding ethics review committee. The Consumer Advisory Group and trial participants will be kept informed about study process, the final results and a lay summary provided to study sites for distribution. The trial is now in the recruitment phase (expected completion: 2026). There are no restrictions on publication from the sponsor or other parties. Publications will be authored by the investigators and authorship offered according to NHMRC criteria. De-identified data will be available at request from the investigators.
Patient and Public Involvement
The NAC-AUD study team have extensive experience engaging with the community, having maintained active involvement with consumers including regular feedback of results from clinical trials and ongoing feedback regarding design and implementation of research protocols (via Edith Collins Consumer Advisory Group, Royal Prince Alfred Hospital; Drug and Alcohol Clinical Research and Improvement Network Consumer Advisory Group). Co-design with consumers included: appointment schedule, dosing scheduling and tolerability, examining key factors leading to relapse, including relevant outcomes such as reduction in heavy drinking and quality of life rather than a focus on survival time to lapse (abstinence). This also aligns with the current evidence base.65 The Consumer Advisory Group and trial participants will be kept informed about study process, the final results and a lay summary provided to study sites for distribution.
Supplementary material
Footnotes
Funding: This project is funded by a National Health and Medical Research Council grant APP2001375 (all authors). MB and DL are supported by NHMRC Leadership grants (2017131 and 1196892 respectively). The funders do not have any role with regards to study design, implementation of the project, data analysis or the decision to submit this report for publication.
Prepublication history and additional supplemental material for this paper are available online. To view these files, please visit the journal online (https://doi.org/10.1136/bmjopen-2024-091631).
Provenance and peer review: Not commissioned; externally peer reviewed.
Patient consent for publication: Not applicable.
Patient and public involvement: Patients and/or the public were involved in the design, or conduct, or reporting, or dissemination plans of this research. Refer to the Methods section for further details.
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