Tobacco treatment incorporating contingency management, nicotine replacement therapy, and behavioral counseling for pregnant women who use substances: a feasibility trial.

Introduction: Most pregnant women with substance use problems smoke, and few will quit during their pregnancy. Tobacco treatment is often overlooked, with the focus usually placed on other substance use. Additionally, few targeted effective treatments for this group exist. To address this, the feasibility of an intensive tobacco treatment incorporating contingency management (CM) that featured non-face-to-face delivery was examined. Methods: A single-arm pre-post design feasibility trial was conducted in three antenatal services that support women who use substances in metropolitan Australia. Participants were over the age of 15, had <33-week gestation, and smoked tobacco daily. They received financial incentives for daily carbon monoxide-verified smoking abstinence or reduction through an internet-based CM programme, nicotine replacement therapy (NRT) posted to women and partners or household members who smoked and telephone-delivered behavioral counseling from study enrolment to birth. Results: Of the 101 referrals, 46 women (46%) consented. The mean (SD) age was 31(±6) years, and the gestation period was 22(±6) weeks. Nineteen (41%) of those enrolled were retained for 12-week postpartum. Of 46 women, 32 (70%) utilized CM; 32 (70%) used NRT for ≥2 weeks; 23 (50%) attended ≥1 counseling session; and 15 (22%) received NRT for partners/household members. Fifteen (33%) were verified abstinent from tobacco at delivery after a median (IQR) period of abstinence of 65(36-128) days. All non-smokers at birth utilized NRT and financial incentives, and 9/15 (60%) utilized counseling. Four (9%) were abstinent at 12-week postpartum. Median cigarettes smoked/day reduced from baseline to delivery (10(6-20) to 1(0-6) p =< 0.001). Women who quit smoking had more education (72% vs. 33% p =< 0.02), completed more CO samples (median (IQR) 101(59-157) vs. 2(0-20) p =< 0.001), and received more incentives (median (IQR) $909($225-$1980) vs. $34($3-$64) p =< 0.001). Intervention acceptability was rated favorably by participants (9 items rated 0-10 with scores >5 considered favorable). Discussion: This study demonstrated the feasibility and acceptability of a consumer-informed, non-face-to-face intensive tobacco treatment, highlighting the potential of remotely delivered technology-based CM to reduce the health impact of tobacco smoking in high-priority populations. The intervention demonstrates scale-up potential. Future studies should extend treatment into the postpartum period, utilizing new technologies to enhance CM delivery and improve counseling provision and partner support. Clinical trial registration: https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=374196, ACTRN1261800056224.

Using Social Media Data to Investigate Public Perceptions of Cannabis as a Medicine: Narrative Review.

BACKGROUND: The use and acceptance of medicinal cannabis is on the rise across the globe. To support the interests of public health, evidence relating to its use, effects, and safety is required to match this community demand. Web-based user-generated data are often used by researchers and public health organizations for the investigation of consumer perceptions, market forces, population behaviors, and for pharmacoepidemiology. OBJECTIVE: In this review, we aimed to summarize the findings of studies that have used user-generated text as a data source to study medicinal cannabis or the use of cannabis as medicine. Our objectives were to categorize the insights provided by social media research on cannabis as medicine and describe the role of social media for consumers using medicinal cannabis. METHODS: The inclusion criteria for this review were primary research studies and reviews that reported on the analysis of web-based user-generated content on cannabis as medicine. The MEDLINE, Scopus, Web of Science, and Embase databases were searched from January 1974 to April 2022. RESULTS: We examined 42 studies published in English and found that consumers value their ability to exchange experiences on the web and tend to rely on web-based information sources. Cannabis discussions have portrayed the substance as a safe and natural medicine to help with many health conditions including cancer, sleep disorders, chronic pain, opioid use disorders, headaches, asthma, bowel disease, anxiety, depression, and posttraumatic stress disorder. These discussions provide a rich resource for researchers to investigate medicinal cannabis-related consumer sentiment and experiences, including the opportunity to monitor cannabis effects and adverse events, given the anecdotal and often biased nature of the information is properly accounted for. CONCLUSIONS: The extensive web-based presence of the cannabis industry coupled with the conversational nature of social media discourse results in rich but potentially biased information that is often not well-supported by scientific evidence. This review summarizes what social media is saying about the medicinal use of cannabis and discusses the challenges faced by health governance agencies and professionals to make use of web-based resources to both learn from medicinal cannabis users and provide factual, timely, and reliable evidence-based health information to consumers.

Corrigendum to: Use of electronic medical records to monitor the safe and effective prescribing of medicinal cannabis: is it feasible?

BACKGROUND: General practitioners are well positioned to contribute to the pharmacovigilance of medical cannabis via the general practice electronic medical record (EMR). The aim of this research is to interrogate de-identified patient data from the Patron primary care data repository for reports of medicinal cannabis to ascertain the feasibility of using EMRs to monitor medicinal cannabis prescribing in Australia. METHODS: EMR rule-based digital phenotyping of 1 164 846 active patients from 109 practices was undertaken to investigate reports of medicinal cannabis use from September 2017 to September 2020. RESULTS: Eighty patients with 170 prescriptions of medicinal cannabis were identified in the Patron repository. Reasons for prescription included anxiety, multiple sclerosis, cancer, nausea, and Crohn's disease. Nine patients showed symptoms of a possible adverse event, including depression, motor vehicle accident, gastrointestinal symptoms, and anxiety. CONCLUSIONS: The recording of medicinal cannabis effects in the patient EMR provides potential for medicinal cannabis monitoring in the community. This is especially feasible if monitoring were to be embedded into general practitioner workflow.

Use of electronic medical records to monitor the safe and effective prescribing of medicinal cannabis: is it feasible?

BACKGROUND: General practitioners are well positioned to contribute to the pharmacovigilance of medical cannabis via the general practice electronic medical record (EMR). The aim of this research is to interrogate de-identified patient data from the Patron primary care data repository for reports of medicinal cannabis to ascertain the feasibility of using EMRs to monitor medicinal cannabis prescribing in Australia. METHODS: EMR rule-based digital phenotyping of 1 164 846 active patients from 109 practices was undertaken to investigate reports of medicinal cannabis use from September 2017 to September 2020. RESULTS: Eighty patients with 170 prescriptions of medicinal cannabis were identified in the Patron repository. Reasons for prescription included anxiety, multiple sclerosis, cancer, nausea, and Crohn's disease. Nine patients showed symptoms of a possible adverse event, including depression, motor vehicle accident, gastrointestinal symptoms, and anxiety. CONCLUSIONS: The recording of medicinal cannabis effects in the patient EMR provides potential for medicinal cannabis monitoring in the community. This is especially feasible if monitoring were to be embedded into general practitioner workflow.

Reducing opioid prescribing on discharge after orthopedic surgery: Does a guideline improve opioid prescribing practice?

AIM: To investigate adherence to discharge advice in a prescription opioid prescribing guideline (GL) post-orthopedic surgery. METHODS: The guideline in draft form was introduced in February 2018. To assess longer-term adherence to discharge advice and to understand which components of that advice were adhered to, regular audits of discharge prescribing were performed after formal GL launch in February 2019, a year after the draft of the GL had been available. The post-GL audit was conducted for three months (March to May 2019) and results reviewed. When these audit results showed a need for improvement in prescribing practice, a 1-month education "booster" named prescription opioid practice improvement safe opioid supply (POPI SOS) took place. Audits for a further 3 months (July to Sept 2019) were then carried out to ascertain whether the additional effort improved adherence to the guideline. RESULTS: On average, adherence to all elements of the guideline was low at only 23.1 percent at 12 months post-draft GL and 1 month after its formal launch. After POPI SOS, a statistically significant improvement was achieved with an average increase in adherence to 52.5 percent (ρ < 0.001). Greatest improvement was seen in the percentage of patients discharged with an opioid plan included in the discharge summary, increasing from 35.8 to 77.7 percent (ρ < 0.001). The second significant improvement observed was in the supply of opioids being limited to four days or less, an increase from 38.1 to 61.9 percent (ρ < 0.001). CONCLUSION: Introduction of the guideline was not sufficient to promote sustained change in practice. Ongoing monitoring and education were required for its implementation. These findings highlight that comprehensive, locally adapted, evidence-based opioid stewardship is needed to increase the safety of patients and the community in relation to opioid therapy.

Reducing opioid prescribing on discharge after orthopaedic surgery: does a guideline and education improve prescribing practice 1 year later?

BACKGROUND: An intervention Prescription Opioid Practice Improvement (POPI), addressing opioid prescribing on discharge following orthopaedic surgery, demonstrated improved practice. Here we report the sustainability of improved practice at 12 months, and the impact of a booster education intervention, POPI SOS (Safe Opioid Supply). METHODS: Audits were performed using methodology described in previously published studies. RESULTS: High proportion of patients were discharged on opioids, 89.9% 12 months post-POPI (n = 149) and 82.2% post-POPI SOS (n = 169). Twelve months post-POPI there was a significant reduction in combination immediate (IR) and slow release (SR) opioids, 45.7% at the end of POPI program to 34.3% at 12 months (χ2 (1, N = 364) = 4.47, ρ = 0.034); a significant decrease in opioid-weaning plans, 87.4% at the end of POPI program to 35.8% at 12 months (χ2 (1, N = 365) = 104.19, ρ = <0.001); and a significant increase in provision of full quantities of SR-opioids, 6.1% after the POPI program to 15.7% (χ2 (1, N = 364) = 8.95, ρ = 0.003). The POPI SOS booster program significantly improved measures including reduction in combination IR and SR, 34.3-22.3% (χ2 (1, N = 273) = 4.87, ρ = 0.028) and an increase in opioid plans in discharge summaries, from 35.8% to 77.7% (χ2 (1, N = 273) = 48.87, ρ < 0.001). CONCLUSION: Better practice in relation to opioid prescribing is achievable but, for sustained improvement, opioid stewardship activities are needed to reduce the potential harms associated with prescription opioids.

Pharmacokinetics, Safety, and Tolerability of a Medicinal Cannabis Formulation in Patients with Chronic Non-cancer Pain on Long-Term High Dose Opioid Analgesia: A Pilot Study.

INTRODUCTION: This phase I open-label study examined pharmacokinetics, safety, and tolerability of escalating doses of a novel combination cannabinoid medication (1:1 tetrahydrocannabinol [THC]/cannabidiol [CBD]) in patients with chronic non-cancer pain (CNCP) on high dose opioid analgesia. METHODS: Nine people with CNCP and oral morphine equivalent daily dose of 60 mg or higher were recruited. Blood concentrations of THC, 11-hydroxytetrahydrocannabinol (OH-THC), 11-nor-9-carboxy-tetrahydrocannabinol (COOH-THC), and CBD were assayed weekly. Concentrations were measured after a single dose of 2.5 mg THC/2.5 mg CBD on day 1, and daily escalating doses up to a single dose of 12.5 mg THC/12.5 mg CBD on day 29. Follow-up was on day 36 after a 7-day washout. Secondary outcome data encompassed pain, mood, and sleep parameters. RESULTS: The parent compounds THC, and CBD, and metabolites OH-THC and COOH-THC were detected at most time points. In general, the concentration of all analytes increased until 2 h post-administration, decreasing to approximately pre-dose concentrations by 8 h. There was considerable inter- and intra-individual variability. The study medication was well tolerated. Eight participants reported at least one adverse event (AE), with a total of 62 AEs; most common were euphoric mood, headache, and agitation, none classified as severe. There was no significant change to pain severity self-ratings, nor use of pain medications. Improvements in pain interference scores, mood, and some sleep parameters were observed. CONCLUSION: The THC/CBD formulation was tolerated well in a group of patients with CNCP. Between-participant variability supports personalized dosing and "start low-go slow" titration. To validate and quantify improvements in secondary efficacy outcomes a randomized placebo-controlled study is needed. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Register (CT-2019-CTN-01224-1).

Many studies use healthy volunteers when they look at the way medicines are absorbed in the body and their clinical effects. The aim of this project was to examine a new formulation of medicinal cannabis in people who have chronic pain and other health conditions to help us to plan a larger study. We wanted information on how quickly it was absorbed and whether there were any negative effects of the medicine. We wondered whether the fact that participants were on a number of other medications might mean that we see different results to those seen with healthy volunteers. We found that the results of our group were very similar to those seen in other studies. Although we only tested a small number of participants we did not observe serious negative effects of the medication, and saw some positive effects on mood and sleep. We now have the data to assist us in planning a larger study which should provide important guidance to prescribers of medicinal cannabis in the future.

Systematic review and meta-analysis of opioid use at 3, 6 and 12 months post-operatively by opioid naïve orthopaedic surgery patients.

BACKGROUND AND OBJECTIVE: There is evidence that opioid initiation post-surgery is contributing to the problem of chronic misuse and/or abuse of over the counter medications in the community, and that orthopedic patients may be particularly at risk. The aim of the systematic review with meta-analysis was to identify research that examined opioid use at 3, 6, and 12 months post-operatively by previously opioid naïve orthopedic surgery patients. Design, databases, and data treatment: A searched review with meta-analysis was undertaken. Eight databases were search. Meta-analyses conducted at all three time points (3 months, 6 months, and 12 months). RESULTS: The search yielded 779 records, and after screening, 13 papers were included in meta-analysis. Results provide strong evidence that post-operative opioid use amongst the opioid naïve is a real effect (7 percent at 3 months, 4 percent at 6 months, and 2 percent at 12 months). A Z-test for overall effect revealed strong evidence that this proportion was nonzero for opioid use at 3, 6, and 12 months (p < 0.001 for all time points). A small but significant proportion of opioid naïve patients who are prescribed opioids remain on these medications up to 12 months post-operatively. CONCLUSIONS: The nature of the studies included in the meta-analysis were varied, hence subanalyses regarding surgery type, characteristics of the patient group or other potential factors that might influence the progression to longer term opioid use after these surgeries could not be explored. Given this, further research in this area should explore such specific orthopedic subgroups.

Implementation of medicinal cannabis in Australia: innovation or upheaval? Perspectives from physicians as key informants, a qualitative analysis.

OBJECTIVE: We sought to explore physician perspectives on the prescribing of cannabinoids to patients to gain a deeper understanding of the issues faced by prescriber and public health advisors in the rollout of medicinal cannabis. DESIGN: A thematic qualitative analysis of 21 in-depth interviews was undertaken to explore the narrative on the policy and practice of medicinal cannabis prescribing. The analysis used the Diffusion of Innovations (DoI) theoretical framework to model the conceptualisation of the rollout of medicinal cannabis in the Australian context. SETTING: Informants from the states and territories of Victoria, New South Wales, Tasmania, Australian Capital Territory, and Queensland in Australia were invited to participate in interviews to explore the policy and practice of medicinal cannabis prescribing. PARTICIPANTS: Participants included 21 prescribing and non-prescribing key informants working in the area of neurology, rheumatology, oncology, pain medicine, psychiatry, public health, and general practice. RESULTS: There was an agreement among many informants that medicinal cannabis is, indeed, a pharmaceutical innovation. From the analysis of the informant interviews, the factors that facilitate the diffusion of medicinal cannabis into clincal practice include the adoption of appropriate regulation, the use of data to evaluate safety and efficacy, improved prescriber education, and the continuous monitoring of product quality and cost. Most informants asserted the widespread assimilation of medicinal cannabis into practice is impeded by a lack of health system antecedents that are required to facilitate safe, effective, and equitable access to medicinal cannabis as a therapeutic. CONCLUSIONS: This research highlights the tensions that arise and the factors that influence the rollout of cannabis as an unregistered medicine. Addressing these factors is essential for the safe and effective prescribing in contemporary medical practice. The findings from this research provides important evidence on medicinal cannabis as a therapeutic, and also informs the rollout of potential novel therapeutics in the future.

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).

Alcohol and illicit drug use in people with diabetes.

As the prevalence of type 1 and type 2 diabetes increases and population-level patterns of alcohol and illicit drug use evolve, clinicians will continue to encounter people with diabetes whose substance use is affecting health outcomes. Substance use contributes substantially to the population-level prevalence of cardiovascular events, cerebrovascular events, cancers, mental health conditions, road trauma, and domestic violence. Alcohol and drug use also have a measurable effect on diabetes incidence and the development of both acute and chronic diabetes-related complications. In this Review, we examine the effect of alcohol and illicit drug use on people with type 1 or type 2 diabetes. We describe evidence for substance use as a risk factor for new-onset diabetes, prevalence of use in people with diabetes, evidence linking substance use with diabetes-related health outcomes, and evidence on the management of these co-occurring conditions.

Opioid prescribing improvement in orthopaedic specialty unit in a tertiary hospital: a retrospective audit of hospital discharge data pre- and post-intervention for better opioid prescribing practice.

BACKGROUND: This study aimed to investigate the effects of an intervention focusing on better opioid prescription practice in a tertiary metropolitan hospital orthopaedic unit. METHODS: Following a previous audit of opioid prescribing in the orthopaedics unit, an intervention comprising the (i) Expert Advisory Group oversight of opioid prescribing, (ii) development of a prescription opioid guideline for various hospital contexts and (iii) a series of education sessions was undertaken to improve opioid prescription practice. A re-audit was subsequently carried out to determine whether the intervention had had an impact on the previously audited orthopaedic unit. RESULTS: Each audit period was 6 months. There were 281 orthopaedic patients in the original audit (1 January 2017-30 June 2017) and 289 in the re-audit (1 March 2018-31 August 2018). In both audits, a high proportion of patients were discharged to the community on opioids, 82.2% (n = 231) pre-intervention and 79.6% (n = 230) post-intervention. Statistically significant differences in opioid prescribing were found between audits, including: a reduction in the number of patients discharged on combination opioids from 71.4% to 45.7% (P < 0.001), a reduction in the provision of full pharmaceutical quantities of opioid on discharge from 29.4% to 6.1% (P < 0.001) and an increase in opioid weaning plans included in discharge summaries from 6.9% to 87.4% (P < 0.001). CONCLUSION: Raised awareness across the organization and education for staff more than halved the post-operative opioid prescription levels. This highlights the capacity for change in hospitals and the ability to work towards safer prescribing of post-operative opioid therapy.

The Australian drug harms ranking study.

BACKGROUND/AIM: The aim of the current study was to review drug harms as they occur in Australia using the Multi-criteria Decision Analysis (MCDA) methodology adopted in earlier studies in other jurisdictions. METHOD: A facilitated workshop with 25 experts from across Australia, was held to score 22 drugs on 16 criteria: 9 related to harms that a drug produces in the individual and 7 to harms to others. Participants were guided by facilitators through the methodology and principles of MCDA. In open discussion, each drug was scored on each criterion. The criteria were then weighted using a process of swing weighting. Scoring was captured in MCDA software tool. RESULTS: MCDA modelling showed the most harmful substances to users were fentanyls (part score 50), heroin (part score 45) and crystal methamphetamine (part score 42). The most harmful substances to others were alcohol (part score 41), crystal methamphetamine (part score 24) and cigarettes/tobacco (part score 14). Overall, alcohol was the most harmful drug when harm to users and harm to others was combined. A supplementary analysis took into consideration the prevalence of each substance in Australia. Alcohol was again ranked the most harmful substance overall, followed by cigarettes, crystal methamphetamine, cannabis, heroin and pharmaceutical opioids. CONCLUSIONS: The results of this study make an important contribution to the emerging international picture of drug harms. They highlight the persistent and pervasive harms caused by alcohol. Policy implications and recommendations are discussed. Policies to reduce harm from alcohol and methamphetamine should be a priority.

A feasible model for early intervention for high-risk substance use in the emergency department setting.

Objective In response to escalating alcohol and other drug (AOD)-related emergency department (ED) presentations, a tertiary Melbourne hospital embedded experienced AOD clinical nurse consultants in the ED on weekends to trial a model for screening, assessment and brief intervention (BI). The aim of the present study was to evaluate the relative contributions of AOD to ED presentations and to pilot a BI model. Methods Using a customised AOD screening tool and a framework for proactive case finding, screened participants were offered a comprehensive AOD assessment and BI in the ED. Immediate effects of the intervention were evaluated via the engagement of eligible individuals and a self-administered 'intention to change' survey. Results Over the 32-month pilot, 1100 patients completed a comprehensive AOD assessment, and 95% of these patients received a BI. The most commonly misused substances were, in order, alcohol, tobacco, amphetamine-type stimulants, gamma-hydroxybutyrate and cannabis. Thirty-two per cent of patients were found to be at risk of dependence from alcohol and 25% were found to be at risk of dependence from other substances. Forty per cent of the people assessed reported no previous AOD support or intervention. On leaving the ED, 78% of participants reported an intention to contact community support services and 65% stated they would change the way they used AOD in the future. Conclusion This study of a pilot program quantifies the relative contribution of AOD to ED presentations and demonstrates that hospital EDs can implement a feasible, proactive BI model with high participation rates for people presenting with AOD-related health consequences. What is known about the topic? Clinician-led BI for high-risk consumption of alcohol has been demonstrated to be effective in primary care and ED settings. However, hospital EDs are increasingly receiving people with high-risk AOD-related harms. The relative contribution of other drugs in relation to ED presentations has not been widely documented. In addition, the optimal model and effects of AOD screening and BI programs in the Australian ED setting are unknown. What does this paper add? This paper describes a 'real-life' pilot project embedding AOD-specific staff in a metropolitan Melbourne ED at peak times to screen and provide BI to patients presenting with AOD-related risk and/or harms. The study quantifies the relative contribution of other drugs in addition to alcohol to ED presentations and reports on this model's much higher levels of patient engagement in receiving BI than has been reported previously. What are the implications for practitioners? This study demonstrates the relative contribution of drugs, in addition to alcohol, to ED presentations at peak weekend times. Although BI has been well proven, the pilot project evaluated herein has demonstrated that by embedding AOD-specific staff in the ED, much higher rates of patient engagement, screening and BI can be achieved.

Opioid prescribing in orthopaedic and neurosurgical specialties in a tertiary hospital: a retrospective audit of hospital discharge data.

BACKGROUND: To understand patterns of opioid prescribing on discharge in the orthopaedic and neurosurgical wards of a tertiary metropolitan hospital. METHODS: A retrospective audit of medical records and discharge summaries for all orthopaedic and neurosurgical patients admitted for at least 2 days on two surgical wards over a 6-month period between 1 January and 30 June 2017. RESULTS: A combined total of 355 patients (281 orthopaedic and 74 neurosurgical patients) were included in the audit. Approximately 82% were discharged on opioids. Of patients discharged on opioids, 71.4% of the orthopaedic group and 73.8% of the neurosurgical group were discharged on combinations of two or more opioids (immediate release together with slow release). Around 65% of the sample discharged on opioids was opioid naïve on admission. About 32.5% of the orthopaedic patients and 68.9% of the neurosurgical patients were discharged on a combination of opioid and other pharmacotherapy that could potentiate the central nervous system depressant effect of the opioids. Only 6.9% of orthopaedic patients and 11.5% of the neurosurgical patients had discharge summaries that included any reference to opioid management after discharge. CONCLUSION: Orthopaedic and neurosurgical units had high opioid prescribing rates on discharge from hospital. This highlights the need for clear communication of the intended medication management plan post-discharge in order to minimize inappropriate and ongoing use of opioids post-surgery.

Two Case Studies Illustrating a Shared Decision-Making Approach to Illicit Methamphetamine Use and Breastfeeding.

Crystal methamphetamine (MA) is a potent psycho-stimulant that is increasingly used worldwide. It is highly addictive, is often made in clandestine laboratories, and can cause serious health issues in adults. Health professionals caring for women in the perinatal period must counsel women about the health risks to infants if they are exposed to MA in breast milk. Most guidelines recommend that women who have current or recent MA use do not breastfeed. This article explores approaches to breastfeeding advice in the context of MA use. Women who have made lifestyle changes, engaged well with services in the antenatal period, and are committed to drug counseling services after discharge from hospital may be supported to breastfeed if they are assessed as safe to do so. The importance of assessing each woman individually when developing infant feeding plans throughout the perinatal period is advocated.

Role of physicians in the management of substance use disorders.

Alcohol, tobacco and other drugs are responsible for significant contribution to the global burden of disease and injury. There are several contributions that the physician can make to reduce the burden that substance use contributes to the community, not only clinically but also through leadership and contribution to community dialogue and public policy.

Teenage drinking and the onset of alcohol dependence: a cohort study over seven years.

AIM: To determine whether adolescent alcohol use and/or other adolescent health risk behaviour predisposes to alcohol dependence in young adulthood. DESIGN: Seven-wave cohort study over 6 years. PARTICIPANT: A community sample of almost two thousand individuals followed from ages 14-15 to 20-21 years. OUTCOME MEASURE: Diagnostic and Statistical Manual volume IV (DSM-IV) alcohol dependence in participants aged 20-21 years and drinking three or more times a week. FINDINGS: Approximately 90% of participants consumed alcohol by age 20 years, 4.7% fulfilling DSM-IV alcohol dependence criteria. Alcohol dependence in young adults was preceded by higher persisting teenage rates of frequent drinking [odds ratio (OR) 8.1, 95% confidence interval (CI) 4.2, 16], binge drinking (OR 6.7, 95% CI 3.6, 12), alcohol-related injuries (OR 4.5 95% CI 1.9, 11), intense drinking (OR 4.8, 95% CI 2.6, 8.7), high dose tobacco use (OR 5.5, 95% CI 2.3, 13) and antisocial behaviour (OR 5.9, 95% CI 3.3, 11). After adjustment for other teenage predictors frequent drinking (OR 3.1, 95% CI 1.2, 7.7) and antisocial behaviour (OR 2.4, 95% CI 1.2, 5.1) held persisting independent associations with later alcohol dependence. There were no prospective associations found with emotional disturbance in adolescence. CONCLUSION: Teenage drinking patterns and other health risk behaviours in adolescence predicted alcohol dependence in adulthood. Prevention and early intervention initiatives to reduce longer-term alcohol-related harm therefore need to address the factors, including alcohol supply, that influence teenage consumption and in particular high-risk drinking patterns.