Differences in prescribed medicinal cannabis use by cannabinoid product composition: Findings from the cannabis as medicine survey 2020 (CAMS-20) Australia-wide study.

INTRODUCTION: Prescribed medicinal cannabis (MC) is an increasingly common prescription in Australia for treating pain, anxiety, and sleep disorders. Prescribed MC products generally contain tetrahydrocannabinol (THC) and/or cannabidiol (CBD) in a variety of dose levels and forms. It is unclear whether THC and CBD products are used by patients with different characteristics and for different conditions. OBJECTIVES: To examine consumer experiences of using THC- and CBD-containing prescribed MC products to better understand how they are being used within the Australian context. METHODS: We utilised data collected from an online anonymous cross-sectional survey of individuals (CAMS-20 survey), consisting of Australian residents using cannabis for therapeutic reasons. We focused on a subgroup of participants (N = 546) receiving prescribed MC products. We utilised linear, logistic, and multinomial regression modelling to analyse responses to survey questions based on the cannabinoid profile of the prescribed product. RESULTS: Participants prescribed THC-dominant MC products were statistically more likely to be younger, male, and to prefer inhaled routes of administration than participants using CBD-dominant products who were older, female, and preferred oral routes of administration. Pain and mental health were the most common reasons for all types of prescribed MC, but were more likely to be treated with THC than CBD despite the significantly higher risk of mild to severe drowsiness, dry mouth and eye irritation. Consumer reported effectiveness of prescribed MC was very positive, particularly for THC-containing products. Consumers on opioids and antipsychotics were statistically more likely to be prescribed THC-containing products than products containing CBD only, despite the greater risk of impairment. CONCLUSIONS: This Australia-wide study found clear differences in consumer-reported experiences of prescribed THC- and CBD-containing products. Current prescriptions of these products do not always align with relevant clinical guidance. Educating prescribers around cannabinoid products is essential to ensure optimal prescribing practices and to prevent avoidable drug side effects and interactions.

The impact of changes in opioid dependency treatment upon COVID-19 transmission in Sydney, Australia: a retrospective longitudinal observational study.

BACKGROUND: In April 2020, in response to the COVID-19 public health emergency, South Eastern Sydney Local Health District (SESLHD) Drug and Alcohol services modified their delivery of opioid dependency treatment (ODT) to reduce spread of COVID-19 and maintain continuity of care by increasing use of takeaway doses (TADs), transferring clients to local community pharmacies for dosing and encouraging the use of long-acting depot buprenorphine (LADB) which enabled once a month dosing. METHODS: This study was a retrospective longitudinal case-control study conducted from August 1st, to November 30th, 2021. Eligible clients were those admitted for treatment with SESLHD ODT Services prior to August 1st,2021 and who remained in treatment beyond November 30th, 2021. COVID-19 diagnoses were determined by a COVID-19 PCR and extracted from the electronic Medical Records (eMR) Discern Reporting Portal. Demographic, clinical and dosing related data were collected from eMR and the Australian Immunisation Register (AIR). RESULTS: Clients attending SESLHD ODT services had significantly greater odds of acquiring COVID-19 than the NSW adult population at large (OR: 13.63, 95%CI: 9.64,18.88). Additionally, amongst SESLHD ODT clients, being of Aboriginal and Torres Strait Islander origin was associated with greater odds of acquiring COVID-19 (OR = 2.18, CI: 1.05,4.53); whilst being employed (OR = 0.06, CI:0.01,0.46), receiving doses at pharmacy (OR = 0.43, CI: 0.21,0.89), and being vaccinated (OR = 0.12, CI: 0.06,0.26) were associated with lower odds. Every additional day of attendance required for dosing was associated with a 5% increase in odds of acquiring COVID-19 (OR = 1.05, CI: 1.02,1.08). CONCLUSIONS: Clients attending SESLHD ODT services are significantly more likely to acquire COVID-19 than the NSW population at large. Promoting vaccination uptake, transferring clients to pharmacy, and reducing the frequency of dosing (by use of takeaway doses or long-acting depot buprenorphine) are all potential methods to reduce this risk.

A systematic review on the effect of routine outcome monitoring and feedback on client outcomes in alcohol and other drug treatment.

ISSUES: Routine outcome monitoring (ROM) involves regularly measuring clients' outcomes during treatment, which can then be fed back to clinicians and/or clients. In the mental health field, ROM and feedback have been shown to improve client outcomes; however, no systematic reviews have examined whether improvement is also seen in alcohol and other drug (AOD) treatment outcomes. This review examines whether feedback to clients and/or clinicians of ROM data in AOD treatment improves future client outcomes. APPROACH: This systematic review of papers identified in Medline, PsycInfo and Scopus examines the effect on client outcomes of feeding back ROM data to clinicians and/or clients in AOD treatment settings. Key client outcomes included substance use, treatment attendance and wellbeing measures. KEY FINDINGS: Ten studies were included-five randomised controlled trials and five pre-post within-subjects designs. Six studies were deemed good- or fair-quality. Of these six, three provided feedback to clinicians only, one to clients only, and two to both clients and clinicians. Only one of the six found feedback was associated with significant reductions in substance use and only among off-track clients. Four of the six found feedback improved other outcomes, including treatment retention, global functioning, therapeutic alliance and mood symptoms. CONCLUSIONS: There may be some positive effects for clients of providing feedback to clients and/or clinicians; however, the small number of randomised trials and the heterogeneity of methods, outcome measures and findings, mean that firm conclusions cannot be drawn about the efficacy of feedback until larger randomised studies are conducted.

Driving-related behaviors, attitudes, and perceptions among Australian medical cannabis users: results from the CAMS 20 survey.

Road safety is an important concern amidst expanding worldwide access to legal cannabis. The present study reports on the driving-related subsection of the Cannabis as Medicine Survey 2020 (CAMS-20) which surveyed driving-related behaviors, attitudes, and perceptions among Australian medical cannabis (MC) users. Of the 1063 respondents who reported driving a motor vehicle in the past 12 months, 28% (297/1063) reported driving under the influence of cannabis (DUIC). Overall, 49-56% of respondents said they typically drive within 6 h of MC use, depending on the route of administration (oral or inhaled). Non-medical cannabis (NMC) was perceived to be more impairing for driving than MC. Binary logistic regression revealed associations between likelihood of DUIC and (1) inhaled routes of cannabis administration, (2) THC-dominant products, (3) illicit rather than prescribed use, (4) believing NMC does not impair driving, and (5) not being deterred by roadside drug testing. Overall, these findings suggest there is a relatively low perception of driving-related risk among MC users. Targeted education programs may be needed to highlight the potential risks associated with DUIC, and further research is needed to determine whether driving performance is differentially affected by MC and NMC.

Substance use, socio-demographic characteristics, and self-rated health of people seeking alcohol and other drug treatment in New South Wales: baseline findings from a cohort study.

OBJECTIVE: To investigate the demographic characteristics, substance use, and self-rated health of people entering treatment in New South Wales public health services for alcohol, amphetamine-type stimulants, cannabis, cocaine, or opioids use, by principal drug of concern. DESIGN: Baseline findings of a cohort study; analysis of data in patient electronic medical records and NSW minimum data set for drug and alcohol treatment services. SETTING, PARTICIPANTS: People completing initial Australian Treatment Outcomes Profile (ATOP) assessments on entry to publicly funded alcohol and other drug treatment services in six NSW local health districts/networks, 1 July 2016 - 30 June 2019. MAIN OUTCOME MEASURES: Socio-demographic characteristics, and substance use and self-rated health (psychological, physical, quality of life) during preceding 28 days, by principal drug of concern. RESULTS: Of 14 087 people included in our analysis, the principal drug of concern was alcohol for 6051 people (43%), opioids for 3158 (22%), amphetamine-type stimulants for 2534 (18%), cannabis for 2098 (15%), and cocaine for 246 (2%). Most people commencing treatment were male (9373, 66.5%), aged 20-39 years (7846, 50.4%), and were born in Australia (10 934, 86.7%). Polysubstance use was frequently reported, particularly by people for whom opioids or amphetamine-type stimulants were the principal drugs of concern. Large proportions used tobacco daily (53-82%, by principal drug of concern group) and reported poor psychological health (47-59%), poor physical health (32-44%), or poor quality of life (43-52%). CONCLUSIONS: The prevalence of social disadvantage and poor health is high among people seeking assistance with alcohol, amphetamine-type stimulants, cannabis, cocaine, or opioids use problems. Given the differences in these characteristics by principal drug of concern, health services should collect comprehensive patient information during assessment to facilitate more holistic, tailored, and person-centred care.

Identifying thresholds for clinically meaningful change among clients of drug and alcohol services using the Australian Treatment Outcomes Profile.

AIMS: The Austraian Treatment Outcomes Profile (ATOP) is a brief clinical outcomes tool used widely in the Australian alcohol and other drugs treatment sector to monitor clients' substance use, health, wellbeing and clinical risk factors. It has demonstrated reliability and validity, and has recommended clinical cut-offs for assessing single-occasion client-rated health scores. This study determined clinically meaningful change thresholds for ATOP substance use and health and wellbeing variables for use by clinicians in monitoring client progress, and for quality improvement and service evaluation. DESIGN, SETTING AND PARTICIPANTS: A framework for assessing clinically meaningful changes scores was developed by (1) calculating statistically reliable change thresholds using data-driven techniques with a reference sample of clinical ATOP data and (2) conducting a multi-disciplinary subject matter expert group to review the utility and validity of data-derived clinically meaningful change. The study was conducted within Outpatient Alcohol and Other Drug treatment services in New South Wales, Australia. The reference sample comprised 6100 ATOPs from clients at entry to public outpatient Alcohol and Other Drug treatment services; the subject matter expert group comprised 29 key stakeholders from the specialist alcohol and other drug treatment sector. MEASUREMENTS AND FINDINGS: We used the Reliable Change Index method to calculate clinically meaningful change thresholds for ATOP variables. For substance use variables, a change of 30% in days of use in the last 28 (minimum 4 days) was the threshold for clinically meaningful change for substance use; for health and wellbeing variables, a change of 2 or more points in psychological health, physical health or quality of life scores (measured on 0-10 scales) was the minimum clinically meaningful change. CONCLUSIONS: Clinically meaningful change thresholds have been proposed for Australian Treatment Outcomes Profile substance use and health and wellbeing items, based on statistical reliability and subject matter expert assessment. These will be used in the development of an outcomes metric for assessing change and assigning meaning in aggregated data for evaluation of services.

Medical Cannabis Use Patterns for Sleep Disorders in Australia: Results of the Cross-Sectional CAMS-20 Survey.

Introduction: Sleep disorders are the third most common indication for the prescription of medical cannabis products in Australia, after pain and anxiety. While the use of cannabis for medical purposes is growing in Australia, underlying consumer behaviours and patterns of use, particularly around sleep disorders, are poorly understood. Methods: We conducted a subanalysis of the cross-sectional "Cannabis as Medicine Survey" 2020-2021 (CAMS-20) (N = 1600), to explore the characteristics of a sample of Australians who were using prescribed and/or illicit medical cannabis to treat a self-reported sleep disorder. Results: When asked to specify up to seven different conditions they were treating with medical cannabis, a total of 1030 (64%) respondents [mean (SD) 44.9 (13.6) years] selected a sleep disorder, with "insomnia disorder" (85.5%), 'sleep-related movement disorders' (26%) and 'sleep-related breathing disorders' (11.1%) the most common subtypes. Only 165 (16.8%) respondents selected a self-reported sleep disorder as the main health condition being treated. Relative to other health conditions, use of medical cannabis for a self-reported sleep disorder was associated with younger age, increased likelihood of using both prescribed and illicit forms of medical cannabis, inhaled routes of administration, and THC-dominant products. Most respondents reported a reduction in the use of benzodiazepines and alcohol since starting medical cannabis. Binary logistic regression showed that respondents who predominantly used inhaled routes of administration, and concomitant use of medical cannabis for pain, mental health and/or substance use disorder, or a gastrointestinal disorder, were significantly more likely to also use medical cannabis to treat a self-reported sleep disorder. Conclusion: Overall, these results suggest that self-reported sleep disorders are often being treated with medical cannabis alongside other health conditions (often pain or a mental health disorder) and that use of inhaled methods, THC-dominant products, and illicit sources of medical cannabis are common among people with self-reported sleep disorders in Australia.

Reduction in caffeine withdrawal after open-label decaffeinated coffee.

BACKGROUND: Withdrawal from addictive drugs can be reduced by administering placebo deceptively, but in the clinic it is unethical to deceive the patient. Open-label placebo effects have been observed across a range of psychophysiological phenomena, and may also apply to drug withdrawal. METHOD: 24-hour abstinent heavy coffee drinkers (N = 61) rated their caffeine withdrawal symptoms before being allocated to one of three groups. The Deceptive group was given decaffeinated coffee (decaf) and told it was caffeinated, the Open-Label group given decaf and told it was decaf and the Control group given water and told it was water. After 45 min, caffeine withdrawal was measured again. All participants rated their expectancies of withdrawal reduction from caffeinated coffee, decaf and water prior to being randomised and the end of the study. RESULTS: There was a significant 9.5-point reduction in caffeine withdrawal in the Open-Label group (95% confidence interval (CI): 4.7, 14.3; p = 0.002), which was 8.6 points less than the Deceptive group (95%CI: 0.4, 16.8; p = 0.014) but 8.9 points greater than the Control group (95%CI: 0.6, 17.2; p = 0.012). Pre-randomisation, participants expected caffeinated coffee to reduce their withdrawal symptoms the most, followed by water and decaf, Pre-randomisation expectancy of withdrawal was only associated with amount of withdrawal reduction in the Deceptive group. CONCLUSION: It appears as if open-label placebo caffeine (i.e. decaf) can reduce caffeine withdrawal symptoms, even when people do not hold a conscious expectancy it will do so. There may be ways to integrate open-label placebo procedures into clinical interventions for drug dependence without violating informed consent.

Health and social characteristics of clients reporting amphetamine type substance use at entry to public alcohol and other drug services in New South Wales, Australia, 2016-2019.

INTRODUCTION: Amphetamine type substances (ATS) are commonly used by Australian alcohol and other drug service entrants. We describe demographic characteristics, patterns of ATS and other substance use, health and social conditions among clients entering New South Wales (NSW) public alcohol and other drug services. METHODS: Retrospective cohort of 13,864 records across six health districts (2016-2019) for clients seeking substance use treatment. These districts service approximately 44% of the NSW population aged 15 years and over. Multivariate analysis was conducted on a subsample for whom full data were available (N = 9981). Data included NSW Minimum Data Set for drug and alcohol treatment services and Australian Treatment Outcomes Profile items. RESULTS: Over the preceding 4 weeks, 77% (n = 10,610) of clients (N = 13,864) reported no recent ATS use, 15% (n = 2109) reported 'low frequency' (1-12 days) and 8% (n = 1145) 'high frequency' (13-28 days) use. ATS use was most common among people attending for ATS or opioids as primary drug of concern. A multinomial regression (N = 9981) identified that clients reporting recent arrest (aOR 1.74, 95% CI 1.36, 2.24), higher cannabis use frequency (aOR 1.01, 95% CI 1.00, 1.02), lower opioid use frequency (aOR 0.98, 95% CI 0.97, 0.99) and poorer quality of life (aOR 0.91, 95% CI 0.86, 0.97) were more likely to report 'high frequency' rather than 'low frequency' ATS use. DISCUSSION AND CONCLUSIONS: People who use ATS experience health and social issues that may require targeted responses. These should be integrated across all services, not only for clients with ATS as principal drug of concern.

Which Test Is Best? A Cluster-Randomized Controlled Trial of a Risk Calculator and Recommendations on Colorectal Cancer Screening Behaviour in General Practice.

INTRODUCTION: This cluster-randomized controlled trial aimed to assess the effect of the "Which test is best?" tool on risk-appropriate screening (RAS) and colorectal cancer (CRC) screening uptake. METHODS: General practices in Sydney and Melbourne, Australia, and a random sub-sample of 460 patients (aged 25-74 years) per practice were invited by post. Clusters were computer randomized independently of the researchers to an online CRC risk calculator with risk-based recommendations versus usual care. Primary and secondary outcomes were RAS and screening uptake via self-reported 5-year screening behaviour after 12 months follow-up. The usual care group (UCG) also self-reported 5-year CRC screening behaviour at 12 month post-randomization. RESULTS: Fifty-six practices were randomized (27 to the intervention and 29 to the control, 55 practices participated) with 818 intervention and 677 controls completing the primary outcome measure. The intervention significantly increased RAS in high-risk participants compared with UCG (80.0% vs. 64.0%, respectively; OR = 3.14, 95% CI: 1.25-7.96) but not in average-risk (44.9% vs. 49.5%, respectively; OR = 0.97, 95% CI: 0.99-1.12) or moderate-risk individuals (67.9% vs. 81.1%, respectively; OR = 0.40, 95% CI: 0.12-1.33). Faecal occult blood testing uptake over 12 months was increased compared with the UCG (24.9% vs. 15.1%; adjusted OR = 1.66, 95% CI: 1.24-2.22), and there was a non-significant increase in colonoscopies during the same period (16.6% vs. 12.2%; adjusted OR = 1.42, 95% CI: 0.97-2.08). CONCLUSION: An online CRC risk calculator with risk-based screening recommendations increased RAS in high-risk participants and improved screening uptake overall within a 12-month follow-up period. Such tools may be useful for facilitating the uptake of risk-based screening guidelines.

Correlates of treatment engagement and client outcomes: results of a randomised controlled trial of nabiximols for the treatment of cannabis use disorder.

INTRODUCTION AND AIMS: There is increasing interest and evidence for the use of cannabinoid medications in the treatment of cannabis use disorder, but little examination of the correlates of successful treatment. This paper is a secondary analysis of a randomised placebo-controlled trial of nabiximols for the treatment of cannabis use disorder (CUD), aiming to identify which client and treatment characteristics impact treatment engagement and outcomes. METHOD: Bayesian multiple regression models were used to examine the impact of age, gender, duration of regular cannabis use, daily quantity of cannabis, cannabis use problems, self-efficacy for quitting, sleep, mental health, pain measures, and treatment group upon treatment engagement (retention, medication dose, and counselling participation) and treatment outcomes (achieving end-of-study abstinence, and a 50% or greater reduction in cannabis use days) among the 128 clients participating in the 12-week trial. RESULTS: Among the treatment factors, greater counselling attendance was associated with greater odds of abstinence and ≥ 50% reduction in cannabis use; nabiximols with greater odds of ≥ 50% reduction and attending counselling, and reduced hazard of treatment dropout; and higher dose with lower odds of ≥ 50% reduction. Among the client factors, longer duration of regular use was associated with higher odds of abstinence and 50% reduction, and lower hazard of treatment dropout; greater quantity of cannabis use with reduced hazard of dropout, greater odds of attending counselling, and higher average dose; greater pain at baseline with greater odds of ≥ 50% reduction and higher average dose; and more severe sleep issues with lower odds of ≥ 50% reduction. Males had lower odds of attending counselling. DISCUSSIONS AND CONCLUSIONS: These findings suggest that counselling combined with agonist pharmacotherapy may provide the optimal treatment for cannabis use disorder. Younger clients, male clients, and clients with sleep issues could benefit from extra support from treatment services to improve engagement and outcomes. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ACTRN12616000103460) https://www.anzctr.org.au.

Medical cannabis use in Australia: consumer experiences from the online cannabis as medicine survey 2020 (CAMS-20).

BACKGROUND: Australia has had a framework for legal medicinal cannabis since 2016, yet prior online surveys in 2016 and 2018 indicated that most consumers continued to use illicit medical cannabis products. Regulatory data indicate an increase in the prescription of medicinal cannabis since 2019, and this survey examines consumer experiences of prescribed and illicit medical cannabis (MC) use in Australia. METHODS: A cross-sectional anonymous online survey was administered September 2020 to January 2021. Recruitment via social media, professional and consumer forums, and medical practices. Participant eligibility: ≥ 18 years; used a cannabis product for self-identified medical reason(s) in the past year, and resident in Australia. Outcome measures included consumer characteristics, conditions treated, source and patterns of MC use, and perspectives on accessing MC. RESULTS: Of the 1600 participants (mean age 46.4 ± 14.3 years, 53% male), 62.4% (n = 999) reported using only illicit and 37.6% (n = 601) used prescribed MC in the past year. MC was used on a median of 28 (IQR: 12, 28) of the past 28 days and cost $AUD 74 ± 72 weekly (median = $40, IQR: $7, $100). Prescribed participants were more likely to treat pain conditions than those using illicit MC (52% v 40%, OR = 1.7, 1.3-2.1) and less likely to treat sleep conditions (6% v 11%, OR = 0.5, 0.3-0.8), with mental health conditions also a common indication in both groups (26%, 31%). Prescribed MC was consumed predominately by oral routes (72%), whereas illicit MC was most commonly smoked (41%). Prescribed MC was 'mainly THC' (26%), 'equal THC/CBD' (40%), 'mainly CBD' (31%) and 'uncertain' (3%), while 34% of those using illicit MC were 'uncertain' of the cannabinoid profile. Cost and difficulties finding medical practitioners to prescribe remain significant barriers to accessing prescribed MC, and few (10.8%) described the existing model for accessing prescribed MC as 'straightforward or easy'. CONCLUSIONS: There has been a notable shift from illicit to prescribed MC by many consumers compared to prior surveys. Consumers using prescribed MC reported a range of advantages compared to illicit MC, including safer routes of administration, and greater certainty regarding access and composition of products.

The Overdose Response with Take Home Naloxone (ORTHN) project: Evaluation of health worker training, attitudes and perceptions.

INTRODUCTION: Naloxone is a life-saving medication that reverses opioid overdose; naloxone can be provided on a 'take-home' basis so naloxone can be administered outside of the health-care setting. The Overdose Response and Take Home Naloxone (ORTHN) project established a model of care for take-home naloxone (THN) interventions across alcohol and other drug and harm reduction services in NSW, Australia. This paper evaluates the staff training and credentialing program, and examines staff attitudes and perspectives regarding the provision of THN interventions in these settings. METHODS: Staff across seven services were trained through a 'train-the-trainer' credentialing model to deliver ORTHN, including naloxone supply. Staff were surveyed regarding their experience, attitudes and knowledge on THN prior to and after training, and after 6 months. At the 6 months follow up, staff were asked about the interventions they provided, barriers and enablers to uptake, and opinions regarding future rollout. RESULTS: A total of 204 staff were trained and credentialed to provide the ORTHN intervention. Most (60%) were nurses, followed by needle syringe program workers and allied health/counsellors (32%). Linear and logistic regression analyses indicated that the training program was associated with significant improvements in staff knowledge and attitudes towards overdose and THN; however, only attitudinal improvements were maintained over time. There were high rates of staff satisfaction with the ORTHN intervention and training. DISCUSSION/CONCLUSIONS: The ORTHN program is 'fit for purpose' for broad implementation in these settings. A number of potential barriers (e.g. time, medication and staffing costs) and enablers (e.g. peer engagement, regulatory framework for naloxone supply) in implementing THN interventions were identified.

Mood, sleep and pain comorbidity outcomes in cannabis dependent patients: Findings from a nabiximols versus placebo randomised controlled trial.

BACKGROUND: Mood, sleep and pain problems are common comorbidities among treatment-seeking cannabis-dependent patients. There is limited evidence suggesting treatment for cannabis dependence is associated with their improvement. This study explored the impact of cannabis dependence treatment on these comorbidities. METHODS: This is a secondary analysis from a 12-week double-blind placebo-controlled trial testing the efficacy of a cannabis agonist (nabiximols) against placebo in reducing illicit cannabis use in 128 cannabis-dependent participants. Outcome measurements including DASS-21 (Depression, Anxiety, and Stress subscales); Insomnia Severity Index (ISI); and Brief Pain Inventory (BPI), were performed at weeks 0, 4, 8, 12 and 24. Each was analysed as continuous outcomes and as binary cases based on validated clinical cut-offs. RESULTS: Among those whose DASS and ISI scores were in the moderate to severe range at baseline, after controlling for cannabis use, there was a gradual decrease in severity of symptoms over the course of the trial. BPI decreased significantly until week 12 and then rose again in the post-treatment period during weeks 12-24. Neither pharmacotherapy type (nabiximols vs placebo) nor number of counselling sessions contributed significant explanatory power to any of the models and were excluded from the final analyses for both continuous and categorical outcomes. CONCLUSIONS: Participants in this trial who qualified as cases at baseline had elevated comorbidity symptoms. There was no evidence that nabiximols treatment is a barrier to achieving reductions in the comorbid symptoms examined. Cannabis dependence treatment reduced illicit cannabis use and improved comorbidity symptoms, even when complete abstinence was not achieved.

Prevalence and correlates of cannabis use disorder among Australians using cannabis products to treat a medical condition.

INTRODUCTION: Prior research has examined the prevalence and correlates of cannabis use disorder (CUD) in people who use cannabis; however, these are poorly described for people using cannabis for medical reasons. METHODS: Data came from a 2018 to 2019 online, anonymous, cross-sectional survey of Australians reporting using either illicit or licit cannabis for medical reasons within the past year. Included were questions on demographics, current and lifetime patterns of cannabis use, clinical conditions for which medical cannabis was used, and individual criteria for CUD and cannabis withdrawal syndrome. Bayesian Horseshoe logistic regression models were used to identify covariates associated with meeting CUD DSM-5 conditions for any-CUD (≥2/11 criteria) and moderate-severe-CUD (≥4/11). RESULTS: A total of 905 participants were included in the analysis. The majority (98%) used illicit cannabis products. Criteria for any-CUD criteria were met by 290 (32.0%), and 117 (12.9%) met criteria for moderate-severe-CUD. Tolerance (21%) and withdrawal (35%) were the most commonly met criteria. Correlates with the strongest association with CUD were inhaled route of administration [odds ratio (OR) = 2.96, 95% credible interval 1.11, 7.06], frequency of cannabis use (OR = 1.24, 1.11-1.35), proportion of cannabis for medical reasons (OR = 0.83, 0.74, 0.94), frequency of tobacco use (OR = 1.10, 1.03, 1.17), age (OR = 0.75, 0.64, 0.90) and pain as main clinical indication (OR = 0.58, 0.36, 1.00). DISCUSSION AND CONCLUSIONS: Prevalence of CUD in medical cannabis users appears comparable to 'recreational' users, with many similar correlates. CUD was associated with using cannabis to treat mental health rather than pain conditions and inhaled over other routes of administration.

The Essential Network (TEN): Protocol for an Implementation Study of a Digital-First Mental Health Solution for Australian Health Care Workers During COVID-19.

BACKGROUND: The COVID-19 pandemic has placed health care workers (HCWs) under severe stress, compounded by barriers to seeking mental health support among HCWs. The Essential Network (TEN) is a blend of digital and person-to-person (blended care) mental health support services for HCWs, funded by the Australian Federal Department of Health as part of their national COVID-19 response strategy. TEN is designed as both a preventative measure and treatment for common mental health problems faced by HCWs. New blended services need to demonstrate improvements in mental health symptoms and test acceptability in their target audience, as well as review implementation strategies to improve engagement. OBJECTIVE: The primary objective of this implementation study is to design and test an implementation strategy to improve uptake of TEN. The secondary objectives are examining the acceptability of TEN among HCWs, changes in mental health outcomes associated with the use of TEN, and reductions in mental health stigma among HCWs following the use of TEN. METHODS: The implementation study contains 3 components: (1) a consultation study with up to 39 stakeholders or researchers with implementation experience to design an implementation strategy, (1) a longitudinal observational study of at least 105 HCWs to examine the acceptability of TEN and the effectiveness of TEN at 1 and 6 months in improving mental health (as assessed by the Distress Questionnaire [DQ-5], Patient Health Questionnaire [PHQ-9], Generalized Anxiety Disorder [GAD-7], Oldenburg Burnout Inventory [OBI-16], and Work and Social Adjustment Scale [WSAS]) and reducing mental health stigma (the Endorsed and Anticipated Stigma Inventory [EASI]), and (3) an implementation study where TEN service uptake analytics will be examined for 3 months before and after the introduction of the implementation strategy. RESULTS: The implementation strategy, designed with input from the consultation and observational studies, is expected to lead to an increased number of unique visits to the TEN website in the 3 months following the introduction of the implementation strategy. The observational study is expected to observe high service acceptability. Moderate improvements to general mental health (DQ-5, WSAS) and a reduction in workplace- and treatment-related mental health stigma (EASI) between the baseline and 1-month time points are expected. CONCLUSIONS: TEN is a first-of-a-kind blended mental health service available to Australian HCWs. The results of this project have the potential to inform the implementation and development of blended care mental health services, as well as how such services can be effectively implemented during a crisis. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/34601.

Opioid agonist treatment and patient outcomes during the COVID-19 pandemic in south east Sydney, Australia.

INTRODUCTION: In early 2020, many services modified their delivery of opioid treatment in response to the COVID-19 pandemic, to limit viral spread and maintain treatment continuity. We describe the changes to treatment and preliminary analysis of the association with patients' substance use and well-being. METHODS: A pre-post comparison of treatment conditions and patient self-reported outcomes using data extracted from electronic medical records in the 5 months before (December 2019-April 2020) and after (May 2020-September 2020) changes were implemented in three public treatment services in South Eastern Sydney Local Health District. RESULTS: Data are available for 429/460 (93%) patients. Few (21, 5%) dropped out of treatment. In the 'post' period there was significantly more use of depot buprenorphine (12-24%), access to any take-away doses (TAD; 24-69%), access to ≥6 TAD per week (7-31%), pharmacy dosing (24-52%) and telehealth services. There were significant reductions in average opioid and benzodiazepine use, increases in cannabis use, with limited group changes in social conditions, or quality of life, psychological and physical health. At an individual level, 22% of patients reported increases in their use of either alcohol, opioids, benzodiazepines or stimulants of ≥4 days in the past 4 weeks. Regression analysis indicates increases in substance use were associated with higher levels of supervised dosing. DISCUSSION AND CONCLUSIONS: These preliminary findings suggest that the modified model of care continued to provide safe and effective treatment, during the pandemic. Notably, there was no association between more TAD and significant increases in substance use. Limitations are discussed and further evaluation is needed.

Determining clinical cutoff scores for the Australian Treatment Outcomes Profile psychological health, physical health and quality of life questions.

INTRODUCTION: The Australian Treatment Outcomes Profile (ATOP) is a brief instrument that measures self-reported substance use, health, and wellbeing in the previous 28 days for people in alcohol and other drug treatment. Previous studies have established the concurrent validity, inter-rater, and test-retest reliability of the tool. The current study sought to identify recommended cutoff scores for ATOP items for psychological health, physical health and quality of life that identify clients reporting clinically significant problems warranting further assessment and/or intervention, compared to cutoffs used by 'gold-standard' measures for these domains. METHODS: Clients attending for treatment for problems with opioid (n = 144) or alcohol use (n = 134) completed the ATOP and comparison standardised questionnaires (Kessler-10, Short Form Survey 12 and the Personal Wellbeing Index) with a researcher. Receiver operating characteristics analysis, along with clinician perspectives, were used to recommend cutoff scores for ATOP items indicative of clinically significant problems. RESULTS: A cutoff score of 5 or less out of 10 was identified as an optimal pragmatic cutoff for ATOP items relating to psychological health, physical health and quality of life items with regards to balancing sensitivity, specificity, and application in a treatment setting. DISCUSSION AND CONCLUSIONS: The recommended clinical cutoffs will support clinicians and treatment services to identify clients who require further assessment and follow up for their psychological health, physical health and quality of life. The current study provides further evidence for the utility of the ATOP for individual clinical review, service planning and research.

Modelling generalisation gradients as augmented Gaussian functions.

Studying generalisation of associative learning requires analysis of response gradients measured over a continuous stimulus dimension. In human studies, there is often a high degree of individual variation in the gradients, making it difficult to draw conclusions about group-level trends with traditional statistical methods. Here, we demonstrate a novel method of analysing generalisation gradients based on hierarchical Bayesian curve-fitting. This method involves fitting an augmented (asymmetrical) Gaussian function to individual gradients and estimating its parameters in a hierarchical Bayesian framework. We show how the posteriors can be used to characterise group differences in generalisation and how classic generalisation phenomena such as peak shift and area shift can be measured and inferred. Estimation of descriptive parameters can provide a detailed and informative way of analysing human generalisation gradients.

Assessing the concurrent validity, inter-rater reliability and test-re-test reliability of the Australian Treatment Outcomes Profile (ATOP) in alcohol and opioid treatment populations.

BACKGROUND AND AIMS: The Australian Treatment Outcomes Profile (ATOP) is a brief instrument measuring recent substance use, risk profile and general health and wellbeing among clients attending alcohol and other drug (AoD) treatment services. This study evaluates the ATOP for concurrent validity, inter-rater and test-re-test reliability among alcohol and opioid treatment groups. DESIGN: For concurrent validity and inter-rater reliability, participants completed an ATOP with a clinician and an ATOP plus standardized questionnaires (time-line follow-back, Opiate Treatment Index, Kessler-10, 12-item Short Form Survey, World Health Organization Quality of Life-BREF, Personal Wellbeing Index) with a researcher within 3 days. For test-re-test reliability, participants completed two ATOPs with a researcher within a 3-day interval. SETTING: Outpatient AoD treatment centres in Australia. PARTICIPANTS: For testing concurrent validity and inter-rater reliability, 278 participants were recruited by advertisements in waiting-rooms or clinician invitation during 2016 to 2018. A further 94 participants were recruited to examine test-re-test reliability. MEASUREMENTS: Statistical tests used for concurrent validity and test-re-test reliability were Pearson's and Spearman's rank order correlations for continuous variables, and Cohen's κ for nominal variables. Inter-rater reliability was assessed using Krippendorf's α. FINDINGS: Most Australian Treatment Outcomes Profile items returned excellent or moderate validity and reliability. For the main substances used-alcohol, cannabis and benzodiazepines-concurrent validity, inter-rater reliability and test-re-test reliability all reached excellent or good agreement (0.72-0.96). Psychological health, physical health and quality of life showed fair to strong agreement with their comparator scales (0.47-0.85). CONCLUSIONS: The Australian Treatment Outcomes Profile is a validated and reliable instrument for assessing recent substance use and clinical risk, health and welfare among alcohol and opioid clients in alcohol and other drug treatment settings. Its ability to reliably measure complex constructs, such as psychological and physical health, against longer scales makes it suitable for integration into routine clinical care, enabling regular monitoring of patient outcomes and safety parameters.