A phase III multisite randomised controlled trial to compare the efficacy of cannabidiol to placebo in the treatment of cannabis use disorder: the CBD-CUD study protocol.

BACKGROUND: Cannabis use disorder (CUD) is increasingly common and contributes to a range of health and social problems. Cannabidiol (CBD) is a non-intoxicating cannabinoid recognised for its anticonvulsant, anxiolytic and antipsychotic effects with no habit-forming qualities. Results from a Phase IIa randomised clinical trial suggest that treatment with CBD for four weeks reduced non-prescribed cannabis use in people with CUD. This study examines the efficacy, safety and quality of life of longer-term CBD treatment for patients with moderate-to-severe CUD. METHODS/DESIGN: A phase III multi-site, randomised, double-blinded, placebo controlled parallel design of a 12-week course of CBD to placebo, with follow-up at 24 weeks after enrolment. Two hundred and fifty adults with moderate-to-severe CUD (target 20% Aboriginal), with no significant medical, psychiatric or other substance use disorders from seven drug and alcohol clinics across NSW and VIC, Australia will be enrolled. Participants will be administered a daily dose of either 4 mL (100 mg/mL) of CBD or a placebo dispensed every 3-weeks. All participants will receive four-sessions of Cognitive Behavioural Therapy (CBT) based counselling. Primary endpoints are self-reported cannabis use days and analysis of cannabis metabolites in urine. Secondary endpoints include severity of CUD, withdrawal severity, cravings, quantity of use, motivation to stop and abstinence, medication safety, quality of life, physical/mental health, cognitive functioning, and patient treatment satisfaction. Qualitative research interviews will be conducted with Aboriginal participants to explore their perspectives on treatment. DISCUSSION: Current psychosocial and behavioural treatments for CUD indicate that over 80% of patients relapse within 1-6 months of treatment. Pharmacological treatments are highly effective with other substance use disorders but there are no approved pharmacological treatments for CUD. CBD is a promising candidate for CUD treatment due to its potential efficacy for this indication and excellent safety profile. The anxiolytic, antipsychotic and neuroprotective effects of CBD may have added benefits by reducing many of the mental health and cognitive impairments reported in people with regular cannabis use. TRIAL REGISTRATION: Australian and New Zealand Clinical Trial Registry: ACTRN12623000526673 (Registered 19 May 2023).

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.

Measuring Objective and Subjective Sleep during Lisdexamfetamine Treatment of Acute Methamphetamine Withdrawal: A Feasibility Study.

INTRODUCTION: Sleep disturbance is common during methamphetamine (MA) use and withdrawal; however, the feasibility of combined subjective-objective measurement of sleep-wake has not been shown in this population. Actigraphy is a well-established, non-invasive measure of sleep-wake cycles with good concordance with polysomnography. This study aimed to investigate the feasibility and utility of using actigraphy and sleep diaries to investigate sleep during MA withdrawal. METHODS: We conducted a feasibility and utility study of actigraphy and sleep diaries during a clinical trial of lisdexamfetamine for MA withdrawal. Participants were inpatients for 7 days, wore an actigraph (Philips Actiwatch 2) and completed a modified Consensus Sleep Diary each morning. Participants were interviewed between days 3-5. RESULTS: Ten participants (mean age 37 years, 90% male) were enrolled. No participant removed the device prematurely. Participants interviewed (n = 8) reported that the actigraph was not difficult or distracting to wear or completion of daily sleep diary onerous. Actigraphic average daily sleep duration over 7 days was 568 min, sleep onset latency 22.4 min, wake after sleep onset (WASO) 75.2 min, and sleep efficiency 83.6%. Sleep diaries underreported daily sleep compared with actigraphy (sleep duration was 56 min (p = 0.008) and WASO 47 min (p < 0.001) less). Overall sleep quality was 4.4 on a nine-point Likert scale within the diary. CONCLUSIONS: Continuous actigraphy is feasible to measure sleep-wake in people withdrawing from MA, with low participant burden. We found important differences in self-reported and actigraphic sleep, which need to be explored in more detail.

Medical cannabis use in Australia seven years after legalisation: findings from the online Cannabis as Medicine Survey 2022-2023 (CAMS-22).

BACKGROUND: Cannabis was legalised for medical purposes in 2016. Uptake was initially slow, but since 2019 there has been a large increase in the number of Australians who have been prescribed cannabis for medical reasons. Yet a significant number of consumers continue to treat their medical conditions via illicitly-sourced cannabis. Little is known about how these two groups of medical cannabis consumers differ. METHODS: The anonymous Cannabis-As-Medicine Survey 2022-2023 (CAMS-22) was available for completion online from December 2022 to April 2023 to adult Australians who had used cannabis to treat a medical condition in the previous year. Recruitment occurred through social media, consumer forums, and medical practices. Questions included demographic characteristics, patterns of cannabis use, conditions treated, and self-rated effectiveness. RESULTS: Of the 3323 respondents included in these analyses, 2352 (73%) mainly used prescribed medical cannabis, 871 (27%) mainly used illicit. Prescribed users were significantly more likely than illicit users to have had their health condition diagnosed (OR = 1.7, 95% CI 1.3, 2.2), to consume their cannabis via oral (OR = 1.9; CI 1.5, 2.4) or vaporised (OR = 5.2; CI 4.0, 6.8) routes, and to be sure of the composition of their medical cannabis (OR = 25.0; CI 16.7, 50.0). Prescribed users were significantly less likely to have used cannabis non-medically before medical use (OR = 0.6, CI 0.5, 0.7), consume cannabis via smoked routes (OR = 0.2, CI 0.1, 0.2), and to report any side effects (OR = 0.1; CI 0.1, 0.2). The most common conditions among both prescribed and illicit users were pain (37%), mental health (36%), and sleep (15%) conditions. Prescribed users were significantly more likely to use cannabis to mainly treat a pain (OR = 1.3; CI 1.1, 1.5) or sleep condition (OR = 1.4; CI 1.1, 1.7) and less likely to treat a mental health condition (OR = 0.8; CI 0.7, 0.9). There were no between-group differences in effectiveness with 97% saying medical cannabis had improved their symptoms. CONCLUSIONS: From a harm-reduction perspective there is much to recommend prescribed medical cannabis; it has fewer side-effects than illicit, is used more safely (oral or vaporised versus smoked routes), gives consumers greater certainty regarding the composition and quality of their medicine, and does not risk exposure to the criminal justice system. Of concern, however, is the apparent willingness of prescribers to prescribe for indications for which there is limited evidence of efficacy, such as mental health and sleep conditions.

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.

Determination of contaminants in artisanal cannabis products used for childhood epilepsy in the Australian community: A sub-analysis of the 'PELICAN' study.

Despite recent approval of pharmaceutical-grade cannabis products for the treatment of childhood epilepsy, some families continue to use artisanal cannabis products as a way to manage seizures in their children. However, such products are typically of unknown composition and quality, and may therefore pose an unpredictable health risk to the child. In the present analysis, 78 samples of cannabis products collected (as part of a previous study) from families of children with epilepsy (average age 8.8 ± 4.6 years) were analyzed for heavy metals (arsenic, cadmium, lead, and mercury), residual solvents (panel of 19 solvents) and pesticides (panel of 57 pesticides). Due to small sample volumes obtained, only a subset of samples was used in each analysis. Results showed that no cannabis sample exceeded the toxicity limits for heavy metals (n = 51 samples tested). Of the 58 cannabis samples tested for residual solvents, 17 (29%) contained concentrations of ethanol or isopropanol above the generally accepted limit of 5000 parts per million. With the volumes consumed, it was thought unlikely that children were consuming hazardous amounts of residual solvents, although this could not be ruled out in every case. Most samples (n = 31 samples tested) yielded inconclusive results for the pesticides, although one sample contained concentrations of bifenthrin that were 4.9 times higher than the acceptable limit. Overall, these results highlight the need for improved access to quality-assured cannabis products and the education of doctors, patients, and artisanal manufacturers around the contaminant exposure risk in unregulated cannabis products.

Sex differences in acute cannabis effects revisited: Results from two randomized, controlled trials.

Some evidence suggests that males and females may differ in their responses to acute cannabis effects, including subjective drug effects and behavioural effects, and cannabinoid pharmacokinetics. This is significant given current changes to cannabis-related policies and, in consequence, increased cannabis accessibility. The present study combines data from two randomized controlled trials to investigate possible differences among males (n = 21) and females (n = 19) in the acute effects of vaporized cannabis containing 13.75 mg Δ9-tetrahydrocannabinol (THC), with and without cannabidiol (CBD; 13.75 mg). To control for differences in the timing of assessments, peak (or peak change from baseline) scores were calculated for a range of measures including subjective drug effects, cognitive performance, cardiovascular effects, and plasma concentrations of THC, CBD, and their respective primary metabolites. While THC elicited robust and significant changes in all but one outcome measure relative to placebo, relatively few sex differences were observed after controlling for BMI and plasma THC concentrations. Relative to females, males performed better overall on a divided attention task (DAT) and had higher peak plasma concentrations of 11-nor-9-carboxy-THC (11-COOH-THC). Males and females did not differ with respect to plasma concentrations of any other analyte, subjective drug effects, or cardiovascular measures. These data indicate an absence of systematic sex differences in acute cannabis effects given a moderate dose of vaporized cannabis. They do not preclude the possibility that sex differences may emerge with higher THC doses or with other commonly used routes of administration (e.g., orally administered oils or edibles).

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 effect of daily aerobic cycling exercise on sleep quality during inpatient cannabis withdrawal: A randomised controlled trial.

Sleep disturbance is a common symptom encountered by cannabis-dependent individuals abstaining from cannabis use. In the present study, we investigated the effect of daily aerobic cycling exercise versus control stretching on sleep quality during inpatient cannabis withdrawal in treatment-seeking dependent cannabis users. The protocol incorporated three consecutive phases: a 4-Day (4-Night) (at-home) 'Baseline' phase, a 6-Day (5-Night) 'Treatment' phase (within a 7-Day inpatient hospital stay) and a 3-Day (4-Night) (at-home) 'Post-Treatment' phase. Participants performed 35 min of monitored activity per day during the Treatment phase. The intervention group (n = 19) cycled at ~60% aerobic capacity (VO2max ), while the control group (n = 12) performed a stretching routine. Objective sleep quality was measured nightly throughout the study using wrist actigraphy ratings of subjective sleep quality were also recorded during the Treatment phase. There were no group differences in sleep measures during the Baseline phase (all p > .05). Objective sleep onset latency increased from the Baseline to the Treatment phase in the control (stretching) group (p = .042). In contrast, the Cycling group exhibited improvements in sleep duration (p = .008) and sleep efficiency (p = .023) during the Treatment phase compared to the Baseline phase. Cycling also increased sleep duration (p = .005), decreased average wake bout (p = .040) and tended to increase sleep efficiency (p = .051) compared to stretching during the Treatment phase. Subjective sleep quality ratings did not differ between groups (p > .10). These preliminary findings suggest that moderate-intensity aerobic exercise may attenuate the sleep disturbances associated with cannabis withdrawal.

Clinical correlates and outcomes associated with pregabalin use among people prescribed opioids for chronic non-cancer pain: A five-year prospective cohort study.

AIMS: Pregabalin has become widely used as an alternative to opioids in treating certain types of chronic non-cancer pain, but few studies have examined its clinical efficacy outside trials. We address this gap by examining the utilization, correlates and clinical outcomes of pregabalin use among an Australian community-based cohort of people prescribed opioids for chronic non-cancer pain. METHODS: Through a five-year prospective cohort study (n = 1514) we examined associations between pregabalin use and pain severity and interference, mental health, opioid dose and past month use of ambulance and emergency department services. We used fixed-effects regression models to examine within-participant differences, and random-effects regression models to examine within- and between-participant differences in clinical outcomes. RESULTS: In an analysis of cases with complete data over five-years (n = 896), the prevalence of pregabalin use ranged from 16% at cohort entry to 29% at 36- and 48-months, and 46% reported pregabalin use at any time during the five years. Pregabalin use was associated with greater pain severity and interference and greater use of high-risk opioid doses (>90 oral morphine equivalents/day). Pregabalin use was not associated with changes in mental health symptoms, ambulance or emergency department attendance in the fixed or random effects models. CONCLUSIONS: Pregabalin use was common, but for most people use was not associated with clinically meaningful improvements in pain or functioning.

New Australian guidelines for the treatment of alcohol problems: an overview of recommendations.

OF RECOMMENDATIONS AND LEVELS OF EVIDENCE: Chapter 2: Screening and assessment for unhealthy alcohol use Screening Screening for unhealthy alcohol use and appropriate interventions should be implemented in general practice (Level A), hospitals (Level B), emergency departments and community health and welfare settings (Level C). Quantity-frequency measures can detect consumption that exceeds levels in the current Australian guidelines (Level B). The Alcohol Use Disorders Identification Test (AUDIT) is the most effective screening tool and is recommended for use in primary care and hospital settings. For screening in the general community, the AUDIT-C is a suitable alternative (Level A). Indirect biological markers should be used as an adjunct to screening (Level A), and direct measures of alcohol in breath and/or blood can be useful markers of recent use (Level B). Assessment Assessment should include evaluation of alcohol use and its effects, physical examination, clinical investigations and collateral history taking (Level C). Assessment for alcohol-related physical problems, mental health problems and social support should be undertaken routinely (GPP). Where there are concerns regarding the safety of the patient or others, specialist consultation is recommended (Level C). Assessment should lead to a clear, mutually acceptable treatment plan which specifies interventions to meet the patient's needs (Level D). Sustained abstinence is the optimal outcome for most patients with alcohol dependence (Level C). Chapter 3: Caring for and managing patients with alcohol problems: interventions, treatments, relapse prevention, aftercare, and long term follow-up Brief interventions Brief motivational interviewing interventions are more effective than no treatment for people who consume alcohol at risky levels (Level A). Their effectiveness compared with standard care or alternative psychosocial interventions varies by treatment setting. They are most effective in primary care settings (Level A). Psychosocial interventions Cognitive behaviour therapy should be a first-line psychosocial intervention for alcohol dependence. Its clinical benefit is enhanced when it is combined with pharmacotherapy for alcohol dependence or an additional psychosocial intervention (eg, motivational interviewing) (Level A). Motivational interviewing is effective in the short term and in patients with less severe alcohol dependence (Level A). Residential rehabilitation may be of benefit to patients who have moderate-to-severe alcohol dependence and require a structured residential treatment setting (Level D). Alcohol withdrawal management Most cases of withdrawal can be managed in an ambulatory setting with appropriate support (Level B). Tapering diazepam regimens (Level A) with daily staged supply from a pharmacy or clinic are recommended (GPP). Pharmacotherapies for alcohol dependence Acamprosate is recommended to help maintain abstinence from alcohol (Level A). Naltrexone is recommended for prevention of relapse to heavy drinking (Level A). Disulfiram is only recommended in close supervision settings where patients are motivated for abstinence (Level A). Some evidence for off-label therapies baclofen and topiramate exists, but their side effect profiles are complex and neither should be a first-line medication (Level B). Peer support programs Peer-led support programs such as Alcoholics Anonymous and SMART Recovery are effective at maintaining abstinence or reductions in drinking (Level A). Relapse prevention, aftercare and long-term follow-up Return to problematic drinking is common and aftercare should focus on addressing factors that contribute to relapse (GPP). A harm-minimisation approach should be considered for patients who are unable to reduce their drinking (GPP). Chapter 4: Providing appropriate treatment and care to people with alcohol problems: a summary for key specific populations Gender-specific issues Screen women and men for domestic abuse (Level C). Consider child protection assessments for caregivers with alcohol use disorder (GPP). Explore contraceptive options with women of reproductive age who regularly consume alcohol (Level B). Pregnant and breastfeeding women Advise pregnant and breastfeeding women that there is no safe level of alcohol consumption (Level B). Pregnant women who are alcohol dependent should be admitted to hospital for treatment in an appropriate maternity unit that has an addiction specialist (GPP). Young people Perform a comprehensive HEEADSSS assessment for young people with alcohol problems (Level B). Treatment should focus on tangible benefits of reducing drinking through psychotherapy and engagement of family and peer networks (Level B). Aboriginal and Torres Strait Islander peoples Collaborate with Aboriginal or Torres Strait Islander health workers, organisations and communities, and seek guidance on patient engagement approaches (GPP). Use validated screening tools and consider integrated mainstream and Aboriginal or Torres Strait Islander-specific approaches to care (Level B). Culturally and linguistically diverse groups Use an appropriate method, such as the "teach-back" technique, to assess the need for language and health literacy support (Level C). Engage with culture-specific agencies as this can improve treatment access and success (Level C). Sexually diverse and gender diverse populations Be mindful that sexually diverse and gender diverse populations experience lower levels of satisfaction, connection and treatment completion (Level C). Seek to incorporate LGBTQ-specific treatment and agencies (Level C). Older people All new patients aged over 50 years should be screened for harmful alcohol use (Level D). Consider alcohol as a possible cause for older patients presenting with unexplained physical or psychological symptoms (Level D). Consider shorter acting benzodiazepines for withdrawal management (Level D). Cognitive impairment Cognitive impairment may impair engagement with treatment (Level A). Perform cognitive screening for patients who have alcohol problems and refer them for neuropsychological assessment if significant impairment is suspected (Level A). SUMMARY OF KEY RECOMMENDATIONS AND LEVELS OF EVIDENCE: Chapter 5: Understanding and managing comorbidities for people with alcohol problems: polydrug use and dependence, co-occurring mental disorders, and physical comorbidities Polydrug use and dependence Active alcohol use disorder, including dependence, significantly increases the risk of overdose associated with the administration of opioid drugs. Specialist advice is recommended before treatment of people dependent on both alcohol and opioid drugs (GPP). Older patients requiring management of alcohol withdrawal should have their use of pharmaceutical medications reviewed, given the prevalence of polypharmacy in this age group (GPP). Smoking cessation can be undertaken in patients with alcohol dependence and/or polydrug use problems; some evidence suggests varenicline may help support reduction of both tobacco and alcohol consumption (Level C). Co-occurring mental disorders More intensive interventions are needed for people with comorbid conditions, as this population tends to have more severe problems and carries a worse prognosis than those with single pathology (GPP). The Kessler Psychological Distress Scale (K10 or K6) is recommended for screening for comorbid mental disorders in people presenting for alcohol use disorders (Level A). People with alcohol use disorder and comorbid mental disorders should be offered treatment for both disorders; care should be taken to coordinate intervention (Level C). Physical comorbidities Patients should be advised that alcohol use has no beneficial health effects. There is no clear risk-free threshold for alcohol intake. The safe dose for alcohol intake is dependent on many factors such as underlying liver disease, comorbidities, age and sex (Level A). In patients with alcohol use disorder, early recognition of the risk for liver cirrhosis is critical. Patients with cirrhosis should abstain from alcohol and should be offered referral to a hepatologist for liver disease management and to an addiction physician for management of alcohol use disorder (Level A). Alcohol abstinence reduces the risk of cancer and improves outcomes after a diagnosis of cancer (Level A).

Acute Experimental Pain Responses in Methadone- and Buprenorphine/Naloxone-Maintained Patients Administered Additional Opioid or Gabapentin: A Double-Blind Crossover Pilot Study.

OBJECTIVE: The study objective was to identify the analgesic efficacy of three different pharmacological strategies in patients receiving methadone or buprenorphine as opioid agonist treatment (OAT). The three pharmacological approaches, a) increasing maintenance methadone/buprenorphine dose by 30%, b) adding oxycodone, or c) adding a single dose of gabapentin, were compared with a control condition of the participant's usual OAT dose. DESIGN: A randomized, controlled, double-blinded, double-dummy, within-subject crossover study. SUBJECTS: Nine participants on stable doses of methadone and eight participants on stable doses of buprenorphine were recruited. SETTING: An outpatient opioid treatment clinic in inner city Sydney, Australia. METHODS: The cold pressor tolerance test was used to examine experimental pain threshold and tolerance. Ratings of subjective drug effects and safety measures (physiological and cognitive) were assessed. RESULTS: There was no difference in the primary outcome measures of pain thresholds or tolerance between the conditions examined. Interindividual variability was evident. Differences in some subjective measures were identified, including lower pain recall, lower "bad effects," and higher global satisfaction in the additional methadone condition. In the buprenorphine arm, increased drug liking and "bad effects" were detected with oxycodone administration, while increased subjective intoxication was identified with gabapentin. CONCLUSIONS: There was no evidence of an objective improvement in analgesia with any condition compared with control. Further research is required to optimize pain management strategies in this population.

Development of a Brief Patient-Administered Screening Tool for Prescription Opioid Dependence for Primary Care Settings.

OBJECTIVE: To develop a short, patient-administered screening tool that will allow for earlier assessment of prescription opioid dependence (often referred to as addiction) in primary care settings. DESIGN AND SETTING: Cross-sectional analysis (N = 1,134) from the two-year time point of the Pain and Opioids IN Treatment (POINT) cohort was used in the scale development. SUBJECTS: Participants who completed two-year interviews in the POINT study, a prospective cohort study that followed people with chronic noncancer pain over a five-year period, and who were prescribed strong opioids for a minimum of six weeks at baseline. METHODS: An advisory committee provided advice on wording and content for screening in primary care settings. Univariate logistic regression identified individual items that were significantly associated with meeting ICD-11 criteria for prescription opioid dependence. Exploratory and confirmatory factor analysis (EFA and CFA) were conducted, and items were reduced to identify a small item set that were discriminative and shared a simple underlying structure. RESULTS: Sixty-four variables associated with ICD-11 criteria for prescription opioid dependence were initially identified. Four rounds of EFA were performed, resulting in five items remaining. CFA identified two possible four-item combinations, with the final combination chosen based on greater item endorsement and the results of goodness-of-fit indices. CONCLUSIONS: Addressing prescription opioid dependence is an important part of the global public health challenge surrounding rising opioid-related harm. This study addresses an important initial requisite step to develop a brief screening tool. Further studies are required to validate the tool in clinical settings.

Medical cannabis use in the Australian community following introduction of legal access: the 2018-2019 Online Cross-Sectional Cannabis as Medicine Survey (CAMS-18).

BACKGROUND: In 2016, the Australian federal government passed legislation enabling a range of cannabis-based products to be prescribed to patients by registered healthcare professionals. An online survey conducted immediately prior to these legislative changes found that the vast majority of respondents at the time were illicitly sourcing cannabis plant matter, smoking was the preferred route of administration and mental health, chronic pain, and sleep conditions were the most frequently cited reasons for medical cannabis use. This manuscript reports the results of a follow-up survey conducted in 2018-2019, the Cannabis As Medicine Survey (CAMS-18). The goal of this second questionnaire was to examine patterns of use and consumer perspectives regarding medical cannabis use in Australia, 2 years after the introduction of legal access pathways. METHODS: Anonymous online cross-sectional survey with convenience sample, recruited mainly through online media between September 2018 and March 2019. Participants were adults (18 years or over) residing in Australia who reported using a cannabis product for self-identified therapeutic reasons during the preceding 12 months. The survey measured consumer characteristics, indications and patterns of medical cannabis use, routes and frequency of administration, perceived benefits and harms, experiences and preferred models of access to medical cannabis. RESULTS: Data were available for 1388 respondents. The main categories of condition being treated with medical cannabis were pain (36.4%), mental health (32.8%), sleep (9.2%), neurological (5.2%) and cancer (3.8%). Respondents reported using medical cannabis on 15.8 (11.2) days in the past 28, by inhaled (71.4%) or oral (26.5%) routes and spending AUD$82.27 ($101.27) per week. There were high levels of self-reported effectiveness, but also high rates of side effects. There was uncertainty regarding the composition of illicit cannabinoid products and concerns regarding their possible contamination. Few respondents (2.7%) had accessed legally prescribed medical cannabis, with the main perceived barriers being cost, disinterest from the medical profession and stigma regarding cannabis use. CONCLUSIONS: Chronic pain, mental health and sleep remain the main clinical conditions for which consumers report using medical cannabis. Despite 2 years of legal availability, most consumers in Australia reported accessing illicit cannabis products, with uncertainty regarding the quality or composition of cannabis products.

Challenges in maintaining treatment services for people who use drugs during the COVID-19 pandemic.

The impact of COVID-19 across health services, including treatment services for people who use drugs, is emerging but likely to have a high impact. Treatment services for people who use drugs provide essential treatment services including opiate agonist treatment and needle syringe programmes alongside other important treatment programmes across all substance types including withdrawal and counselling services. Drug and alcohol hospital consultation-liaison clinicians support emergency departments and other services provided in hospital settings in efficiently managing patients who use drugs and present with other health problems.COVID-19 will impact on staff availability for work due to illness. Patients may require home isolation and quarantine periods. Ensuring ongoing supply of opiate treatment during these periods will require significant changes to how treatment is provided. The use of monthly depot buprenorphine as well as moving from a framework of supervised dosing will be required for patients on sublingual buprenorphine and methadone. Ensuring ready access to take-home naloxone for patients is crucial to reduce overdose risks. Delivery of methadone and buprenorphine to the homes of people with confirmed COVID-19 infections is likely to need to occur to support home isolation.People who use drugs are likely to be more vulnerable during the COVID-19 epidemic, due to poorer health literacy and stigma and discrimination towards this group. People who use drugs may prioritise drug use above other health concerns. Adequate supply of clean injecting equipment is important to prevent outbreaks of blood-borne viruses. Opiate users may misinterpret SARS-CoV2 symptoms as opiate withdrawal and manage this by using opioids. Ensuring people who use drugs have access to drug treatment as well as access to screening and testing for SARS-CoV2 where this is indicated is important.

Concerns and Help-Seeking Among Patients Using Opioids for Management of Chronic Noncancer Pain.

BACKGROUND: The safety and efficacy of long-term opioid treatment for chronic noncancer pain (CNCP) remains controversial. This study examined whether patients who report problematic opioid use sought help and/or perceived barriers to help-seeking. METHODS: Data were collected from 1,086 people prescribed opioids for CNCP via a large prospective cohort called the Pain and Opioids IN Treatment (POINT) study. Patients' characteristics and help-seeking were examined according to scores on the Prescribed Opioids Difficulties Scale (PODS). RESULTS: Participants scoring "intermediate" (17%) or "high" (30%) on the PODS were younger and reported more complex pain presentations, higher opioid doses, poorer physical health, moderate to severe anxiety and depression, aberrant behavior, past month opioid use disorder and help-seeking (compared with the "low" PODS group, 53%). One-quarter (26%) had sought help, most commonly from a primary care physician, specialist pain clinic, family member/partner, counselor/psychologist, and the Internet. Participants in the "high" PODS group were more likely to have sought help from an alcohol or other drug service, addiction specialist, or drug information helpline. Common barriers to help-seeking were desire for self-management and concern that their opioid treatment may be discontinued. Although 35% met criteria for likely opioid use disorder, only 4.8% reported lifetime treatment with methadone or buprenorphine; participants' ratings indicated significant perceived stigma associated with these medications. CONCLUSIONS: The PODS is effective in identifying patients who are concerned about their opioid use. Strategies to address stigma related to drug treatment, including better integration of primary health, specialist pain, and addiction services, are important in reducing opioid-related harm.

Antidepressant Use Among People Prescribed Opioids for Chronic Noncancer Pain.

OBJECTIVE: Although depression and chronic pain often coexist, few studies have examined antidepressant use among people with pain. This study examines the prevalence and characteristics associated with antidepressant use among people prescribed opioids for chronic noncancer pain (CNCP). DESIGN: Baseline data from a prospective cohort study. SETTING: Australian community. SUBJECTS: A total of 1166 people prescribed opioids for CNCP. METHODS: Baseline data collection consisted of a self-completed seven-day medication diary and telephone interview to collect information on sociodemographic characteristics and mental/physical health using validated questionnaires. Logistic regression was used to examine characteristics associated with antidepressant use, reporting adjusted odds ratios (AORs) and 95% confidence intervals (CIs). RESULTS: Of the 1166 participants, 668 (57.3%) were female, and the median (interquartile range) age was 59 (49-68) years. About half the cohort (N = 637, 54.6%) used antidepressants. Of these, 329 (51.7%) reported moderate to severe depression. Amitriptyline was the most commonly used antidepressant (17.3%). Factors independently associated with antidepressant use were being female (AOR = 1.47, 95% CI = 1.13-1.92), more years lived in pain (AOR = 1.01, 95% CI = 1.00-1.02), and use of nonopioid analgesics (AOR = 1.34, 95% CI = 1.01-1.78), benzodiazepines and related drugs (AOR = 1.84, 95% CI = 1.36-2.49), antiepileptics (AOR = 1.86, 95% CI = 1.38-2.51), and antipsychotics (AOR = 2.15, 95% CI = 1.22-3.77). CONCLUSIONS: Antidepressant use is common among people with CNCP prescribed opioids. Those using antidepressants were more likely to use other psychotropic medicines concurrently, highlighting that they are a high-risk population requiring comprehensive assessment to optimize outcomes and reduce potential harms from polypharmacy.

Survey of Australian psychiatrists' and psychiatry trainees' knowledge about and attitudes towards medicinal cannabinoids.

OBJECTIVE:: To assess Australian psychiatrists' and psychiatry trainees' knowledge about and attitudes towards medicinal cannabinoids, given the recent relaxation of cannabinoid-prescribing laws in Australia. METHOD:: All Australian members of the Royal Australian and New Zealand College of Psychiatrists were invited to participate in an anonymous, 64-item online questionnaire, through Royal Australian and New Zealand College of Psychiatrists' newsletters. The questionnaire ran for a 10-week period from March to May 2017. Participants were asked about their knowledge of the evidence for and against prescribing pharmaceutical-grade cannabidiol and tetrahydrocannabinol, and their concerns about prescribing medicinal cannabinoids. RESULTS:: In total, 88 doctors responded to the survey, with 55 completing all items (23 psychiatrists, 32 trainees). Overall, 54% of respondents would prescribe medicinal cannabinoids if it was legal to do so. Participants believed there was evidence for the use of cannabidiol and tetrahydrocannabinol in treating childhood epilepsy, chronic pain, and nausea and vomiting. They were most concerned about medicinal cannabinoids leading to psychotic symptoms, addiction and dependence, apathy and recreational use. CONCLUSIONS:: Our sample of Australian psychiatrists and trainees were aware of the main clinical indications for medicinal cannabinoids, but were poor at differentiating between the indications for cannabidiol versus tetrahydrocannabinol. Further education about medicinal cannabinoids appears necessary.

Medicinal cannabis in Australia, 2016: the Cannabis as Medicine Survey (CAMS-16).

OBJECTIVE: To explore patterns of cannabis use for medical purposes in Australia immediately prior to the 2016 legislation for frameworks for medical cannabis use. Design, setting: Anonymous online survey with convenience sample, April-October 2016. Participants were recruited through online media and at professional and consumer forums. PARTICIPANTS: Adults (at least 18 years of age) who reported using a cannabis product for self-identified medical or therapeutic reasons during the preceding 12 months. MAIN OUTCOME MEASURES: Consumer characteristics; indications and patterns of medical cannabis use; perceived benefits and harms; views on appropriate availability of medical cannabis. RESULTS: Most of the 1748 participants were men (68.1%) and employed (56.6%), with a mean age of 37.9 years (SD, 13.4 years) and mean reported period of medical cannabis use of 9.8 years (SD, 12.5 years). The most frequent reasons for medical cannabis use were anxiety (50.7%), back pain (50.0%), depression (49.3%), and sleep problems (43.5%). Respondents had used medical cannabis on a mean of 19.9 of the previous 28 days (SD, 10.0 days), spending a mean $68.60 (SD, $85.00) per week, and 83.4% had inhaled the substance. Participants reported high levels of clinical effectiveness and frequent side effects, including drowsiness, ocular irritation, lethargy and memory impairment; 17% met DSM-5 criteria for moderate or severe cannabis use disorder. Many reported harms or concerns related to the illicit status of cannabis. Participants believed that medical cannabis should be integrated into mainstream health care, and that products should be required to meet consistency and safety standards. CONCLUSION: Illicitly sourced cannabis is used to treat a broad range of medical conditions in Australia. Future models of prescribed medical cannabis take consumer patterns of use and demand into consideration.