Restricting supply of tobacco products to pharmacies: a scoping review.

OBJECTIVE: We synthesised the published literature on proposals to restrict tobacco supply to pharmacies, covering (1) policy concept/rationale/attempts, (2) policy impact and implementation and (3) policy and research recommendations. DATA SOURCES: We searched eight databases (PubMed, CINAHL, Scopus, Web of Science, Embase, IPA, ProQuest and OATD) for publications with at least an English-language abstract. We searched reference lists of included publications manually. STUDY SELECTION: One author screened all publications, and a second author reviewed a 10% subset. We focused on approaches to restrict the supply of tobacco products to pharmacies, without any restrictions on study design, location, participants or publication date. DATA EXTRACTION: Data extraction adhered to the JBI Scoping Review Methodology and Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. DATA SYNTHESIS: We included 18 publications. Among the 13 studies conducted in specific geographical contexts, 8 were from Aotearoa/New Zealand. Most publications (n=8) focused on effectiveness domains, indicating potential reductions in retailer density, smoking prevalence, disease burden, cost and increased opportunities for cessation advice. Seven explored policy acceptability among experts, pharmacists and people who smoke. Publications noted that pharmacy-only supply aligns with other programmes involving pharmacists, such as needle exchange programmes, but conflicts with efforts to phase out tobacco sales from the US and Canadian pharmacies. CONCLUSIONS: Progress in tobacco retailing policy (eg, licensing, retailer incentives) and research (eg, assessment of policy equity and durability, application in other geographical contexts) are needed before a pharmacy-only tobacco supply model would be feasible.

Cannabis use and cannabis use disorders and their treatment in the Europe.

This paper introduces the special issue on cannabis use in Europe. It describes data on the prevalence of cannabis use in Europe and the more limited data on the prevalence of cannabis use disorders, one of the most common forms of drug problem treated in many countries in Europe. It summarises what research has indicated about the adverse effects of acute and chronic cannabis use and discusses potential health system responses that may reduce some of these harms. These include public education about the risks of cannabis use; screening and brief interventions in primary medical settings; and specialist treatment for cannabis use disorders. It briefly indicates the special issues that may need to be addressed in dealing with the high rates of comorbidity between cannabis use disorders, other types of drug use disorders, and common mental disorders.

Sensitivity analysis of paediatric knee kinematics to the graft surgical parameters during anterior cruciate ligament reconstruction: A sequentially linked neuromusculoskeletal-finite element analysis.

BACKGROUND AND OBJECTIVE: Incidence of paediatric anterior cruciate ligament (ACL) rupture has increased substantially over recent decades. Following ACL rupture, ACL reconstruction (ACLR) surgery is typically performed to restore passive knee stability. This surgery involves replacing the failed ACL with a graft, however, surgeons must select from range of surgical parameters (e.g., type, size, insertion, and pre-tension) with no robust evidence guiding these decisions. This study presents a systemmatic computational approach to study effects of surgical parameter variation on kinematics of paediatric knees. METHODS: This study used sequentially-linked neuromusculoskeletal (NMSK) finite element (FE) models of three paediatric knees to estimate the: (i) sensitivity of post-operative knee kinematics to four surgical parameters (type, size, insertion, and pre-tension) through multi-input multi-output sensitivity analysis; (ii) influence of motion and loading conditions throughout stance phase of walking gait on sensitivity indices; and (iii) influence of subject-specific anatomy (i.e., knee size) on sensitivivty indices. A previously validated FE model of the intact knee for each subject served as a reference against which ACLR knee kinematics were compared. RESULTS: Sensitivity analyses revealed significant influences of surgical parameters on ACLR knee kinematics, albeit without discernible trend favouring any one parameter. Graft size and pre-tension were primary drivers of variation in knee translations and rotations, however, their effects fluctuated across stance indicating motion and loading conditions affect system sensitivity to surgical parameters. Importantly, the sensitivity of knee kinematics to surgical parameter varied across subjects, indicating geometry (i.e., knee size) influenced system sensitivity. Notably, alterations in graft parameters yielded substantial effects on kinematics (normalized root-mean-square-error > 10 %) compared to intact knee models, indicating surgical parameters vary post-operative knee kinematics. CONCLUSIONS: Overall, this initial study highlights the importance of surgical parameter selection on post-operative kinematics in the paediatric ACLR knee, and provides evidence of the need for personalized surgical planning to ultimately enhance patient outcomes.

The prevalence of cannabis use disorders in people who use medicinal cannabis: A systematic review and meta-analysis.

BACKGROUND: The prevalence of cannabis use disorders (CUDs) in people who use cannabis recreationally has been estimated at 22%, yet there is a dearth of literature exploring CUDs among people who use medicinal cannabis. We aimed to systematically review the prevalence of CUDs in people who use medicinal cannabis. METHODS: In our systematic review and meta-analysis, we followed PRISMA guidelines and searched three databases (PsychInfo, Embase and PubMed) to identify studies examining the prevalence of CUDs in people who use medicinal cannabis. Meta-analyses were calculated on the prevalence of CUDs. Prevalence estimates were pooled across different prevalence periods using the DSM-IV and DSM-5. RESULTS: We conducted a systematic review of 14 eligible publications, assessing the prevalence of CUDs, providing data for 3681 participants from five different countries. The systematic review demonstrated that demographic factors, mental health disorders and the management of chronic pain with medicinal cannabis were associated with an elevated risk of CUDs. Meta-analyses were conducted on the prevalence of CUDs. For individuals using medicinal cannabis in the past 6-12 months, the prevalence of CUDs was 29% (95% CI: 21-38%) as per DSM-5 criteria. Similar prevalence was observed using DSM-IV (24%, CI: 14-38%) for the same period. When including all prevalence periods and using the DSM-5, the prevalence of CUDs in people who use medicinal cannabis was estimated at 25% (CI: 18-33%). CONCLUSIONS: The prevalence of CUDs in people who use medicinal cannabis is substantial and comparable to people who use cannabis for recreational reasons, emphasizing the need for ongoing research to monitor the prevalence of CUDs in people who use medicinal cannabis.

E-cigarettes: A framework for comparative history and policy.

BACKGROUND: England, Australia and the United States have approached the regulation of e-cigarettes in very different ways, yet all three countries have appealed to the concept of evidence as underpinning policy responses. We compared these policy responses using a combination of the methodologies of historians and policy scientists in order to elucidate the factors that had influenced policy in each country. ARGUMENT/ANALYSIS: Each country's evidence and values intersected in different ways, producing very different responses within specific national contexts and histories. Our analysis accordingly emphasized the historical precursors of the policy issues raised by e-cigarettes and placed the policy debate within the context of regulatory bodies and the networks of researchers and advocates who influenced policy. Issues also of importance were the nature of the state; political context; the pre-history of nicotine for smoking cessation; the role of activism and its links with government; the influence of harm reduction ideas from drugs and HIV; and finally, whom policy was perceived to benefit. In the United Kingdom, based on this pre-history of the smoking issue, it was the existing smoker, while in the United States and Australia, protecting children and adolescents has played a central role. CONCLUSIONS: Structural and historical factors appear to underpin differences in e-cigarette policy development in England, Australia and the United States.

Designing observational studies for credible causal inference in addiction research-Directed acyclic graphs, modified disjunctive cause criterion and target trial emulation.

Randomized controlled trials (RCTs) are considered the gold standard for causal inference. With a sufficient sample size, randomization removes confounding up to the time of randomization and allows the treatment effect to be isolated. However, RCTs may have limited generalizability and transportability and are often not feasible in addiction research due to ethical or logistical constraints. The importance of observational studies from real-world settings has been increasingly recognized in research on health. This paper provides an overview of modern approaches to designing observational studies that enable causal inference. It illustrates three key techniques, Directed Acyclic Graphs (DAGs), modified Disjunctive Cause Criterion and Target Trial Emulation, and discusses the strengths and limitations of their applications.

Wastewater-based monitoring of the nitazene analogues: First detection of protonitazene in wastewater.

Synthetic opioids, particularly the nitazene analogues class, have become a public health concern due to their high potency. Wastewater-based epidemiology can detect community use of these compounds. The objective of this work was to detect nitazene analogues in wastewater from samples collected from eight sites in the United States. Influent wastewater samples were collected from eight sites in seven states (Arizona, Oregon, New Mexico, Illinois, New Jersey, Washington and Georgia) in the United States. Samples were collected from each site on three days between 27 December 2022 and 4 January 2023, acidified on collection, stored frozen and shipped to Arizona State University (Tempe, AZ) for sample processing. Samples were then shipped to The University of Queensland (Brisbane, Australia) for sample analysis. Protonitazene was found in samples collected from two sites in Washington and Illinois. The concentration was estimated up to 0.5 ng/L, with estimated excreted mass loads up to 0.3 mg/day/1000 people. This work has shown that it is possible to detect nitazene analogues in wastewater using a combination of sample pre-concentration and sensitive instrumentation, thereby further expanding the utility of wastewater-based epidemiology.

Prevalence and correlates of positive parental attitudes towards cannabis use and use intention in Australia during 2016 and 2019.

INTRODUCTION: With recent policy changes around medicinal cannabis in Australia, there is concern about the influence of changing norms of cannabis use on adults who are actively parenting. METHODS: This repeated cross-sectional population study used National and Drug Strategy and Household Surveys to estimate the changes and correlates of cannabis-related attitudes (support of legalisation, approve of regular use, would try or use if legal) among Australian parents from 2016 to 2019. RESULTS: The estimated proportion of parents who supported legalisation and approved regular cannabis use increased significantly. Parents who would try cannabis if it was legal grew from 5.9% (95 %CI: 5.2, 6.7) to 8.1% (95 %CI: 7.2, 9.0). Parents who said they would use cannabis more often increased from 1.6 (95 % CI: 1.2, 1.9) to 2.9 (95 %CI: 2.4, 3.4), an 81% jump in the three years. The strongest associations were observed between a very high level of psychological distress and regular smoking and drinking. For example, people with a very high level of psychological distress were 2.16 times (95 %CI: 1.42, 3.28) and 2.48 times (95 %CI: 1.61, 3.83) more likely to approve legalisation and regular cannabis use, respectively. Daily drinking was associated with higher odds of trying cannabis (OR = 1.66; CI: 1.25-2.20). DISCUSSION AND CONCLUSION: The proportion of parents who would try or use cannabis more often represents a sizeable pool of potential new and frequent users. This highlights the need for education and intervention strategies for parents who use cannabis and care for young children. The associations between mental health and substance use suggest that more research is needed to understand the impact of legalisation on vulnerable groups.

What is the hype on #MedicinalCannabis in the United States? A content analysis of medicinal cannabis tweets.

INTRODUCTION: Medicinal cannabis is now legal in 44 US jurisdictions. Between 2020 and 2021 alone, four US jurisdictions legalised medicinal cannabis. The aim of this study is to identify themes in medicinal cannabis tweets from US jurisdictions with different legal statuses of cannabis from January to June 2021. METHODS: A total of 25,099 historical tweets from 51 US jurisdictions were collected using Python. Content analysis was performed on a random sample of tweets accounting for the population size of each US jurisdictions (n = 750). Results were presented separately by tweets posted from jurisdictions where all cannabis use (non-medicinal and medicinal) is 'fully legalised', 'illegal' and legal for 'medical-only' use. RESULTS: Four themes were identified: 'Policy', 'Therapeutic value', 'Sales and industry opportunities' and 'Adverse effects'. Most of the tweets were posted by the public. The most common theme was related to 'Policy' (32.5%-61.5% of the tweets). Tweets on 'Therapeutic value' were prevalent in all jurisdictions and accounted for 23.8%-32.1% of the tweets. Sales and promotional activities were prominent even in illegal jurisdictions (12.1%-26.5% of the tweets). Fewer than 10% of tweets were about intoxication and withdrawal symptoms. DISCUSSION AND CONCLUSION: This study has explored if content themes of medicinal cannabis tweets differed by cannabis legal status. Most tweets were pro-cannabis and they were related to policy, therapeutic value, and sales and industry opportunities. Tweets on unsubstantiated health claims, adverse effects and crime warrants continued surveillance as these conversations could allow us to estimate cannabis-related harms to inform health surveillance.

How much cannabis is used in a joint in Australia? An experimental investigation into use by potency and frequency.

INTRODUCTION: Cannabis use is highly prevalent in Australia, yet current survey metrics measure tetrahydrocannabinol (THC) exposure with limited accuracy. Often survey items measure cannabis quantity by assuming specific modes of use (i.e., 'how many joints do you use?'), which fail to capture variations in cannabis use and the diverse modes of use (e.g., joints, cones, spliffs). This study investigated how much cannabis is used in these modes of administration in an Australian sample. METHODS: Participants (N = 31, Mage = 25.77; 51% university students) completed the Roll a Joint Paradigm in which they rolled joints, spliffs and packed cones as they would typically, using oregano as 'cannabis.' Participants then prepared each again but with cannabis of higher or lower potency. RESULTS: The amount of cannabis used across different modes of administration was variable: joints (range 0.10-1.25 g), spliffs (range 0.12-1.21 g) and cones (range 0.03-0.41 g). Participants who used cannabis daily rolled three times the amount of cannabis into a joint. DISCUSSION AND CONCLUSIONS: The amount of cannabis used in common modes of administration may be highly variable. Daily use may be associated using larger quantities of cannabis. Titration attempts based on potency were not proportional or consistent across modes of administration. The results indicate people may adjust the quantity of cannabis based on perceived potency, however, not proportional to THC concentration. Inconsistency in the amount of cannabis used based on potency and within different modes of administration may represent a problem for self-report metrics which ask participants to report cannabis use in joints.

Participation in Australian drug treatment programs for individuals engaging in high-risk substance use: Data from a nationally representative sample.

INTRODUCTION: Substance use, including drugs, alcohol and smoking have a significant health, social and economic impact. We aim to assess the rate and factors associated with treatment access among individuals with high-risk substance use. METHOD: This study is a cross-sectional analysis of the 2019 Australian National Drug Strategy Household Survey (N = 22,015). Participants were persons with high-risk substance use based on the Alcohol, Smoking and Substance Involvement Screening Test-Lite (ASSIST-Lite) and current smokers. We measured self-reports of past 12-month engagement in a tobacco, alcohol or other drugs treatment program. RESULTS: Overall, 0.4% had high-risk drug use (0.3% cannabis, 0.1% meth/amphetamine or 0.1% opioids), 7.4% had high-risk alcohol use, and 14.0% currently smoked. Among high-risk users, past 12-month treatment access rates were 50.6% [22.3-78.9%] for opioids, 27.1% [8.1-46.1%] for meth/amphetamine, 14.5% [4.3-24.7%] for cannabis, 9.6% [8.1-11.0%] for alcohol and 11.7% [10.6-12.9%] for current smoking. The primary source of treatment support was information and education (12.7% drugs, 4.6% alcohol, 4.0% smoking), followed by counselling (6.7% drugs, 4.5% alcohol, 3.0% smoking). Online or internet support was accessed by 5.9% (drug) and 1.6% (alcohol) people with high-risk use. Psychological distress was associated with treatment access (drugs: odds ratio 3.03 [0.77-11.95], p = 0.111; alcohol: odds ratio 3.16 [2.20-4.56], p ≤ 0.001; smoking: odds ratio 1.95 [1.52-2.49], p ≤ 0.001). DISCUSSION AND CONCLUSIONS: The proportion of people engaging in risky substance use who had used treatment programs remains low, especially for alcohol. Public health strategies to scale up treatment access are warranted.

How has the brain disease model of addiction contributed to tobacco control?

Our paper evaluates the extent to which the brain disease model of addiction (BDMA) has contributed to reducing the prevalence of tobacco smoking and  tobacco-related harm over the past 20 years. We discuss the ways in which genetic and neuroscience research on nicotine addiction have contributed to our understanding of tobacco smoking. We then examine the extent to which the BDMA has produced more effective treatments to assist smoking cessation. We also assess the degree to which the BDMA has contributed to the tobacco control policies that have produced substantial reductions in tobacco-related morbidity and mortality in the two decades since the model was first proposed by Alan Leshner. We also assess whether the BDMA has reduced the stigmatisation of people who smoke tobacco.

Validation and evaluation of subject-specific finite element models of the pediatric knee.

Finite element (FE) models have been widely used to investigate knee joint biomechanics. Most of these models have been developed to study adult knees, neglecting pediatric populations. In this study, an atlas-based approach was employed to develop subject-specific FE models of the knee for eight typically developing pediatric individuals. Initially, validation simulations were performed at four passive tibiofemoral joint (TFJ) flexion angles, and the resulting TFJ and patellofemoral joint (PFJ) kinematics were compared to corresponding patient-matched measurements derived from magnetic resonance imaging (MRI). A neuromusculoskeletal-(NMSK)-FE pipeline was then used to simulate knee biomechanics during stance phase of walking gait for each participant to evaluate model simulation of a common motor task. Validation simulations demonstrated minimal error and strong correlations between FE-predicted and MRI-measured TFJ and PFJ kinematics (ensemble average of root mean square errors < 5 mm for translations and < 4.1° for rotations). The FE-predicted kinematics were strongly correlated with published reports (ensemble average of Pearson's correlation coefficients (ρ) > 0.9 for translations and ρ > 0.8 for rotations), except for TFJ mediolateral translation and abduction/adduction rotation. For walking gait, NMSK-FE model-predicted knee kinematics, contact areas, and contact pressures were consistent with experimental reports from literature. The strong agreement between model predictions and experimental reports underscores the capability of sequentially linked NMSK-FE models to accurately predict pediatric knee kinematics, as well as complex contact pressure distributions across the TFJ articulations. These models hold promise as effective tools for parametric analyses, population-based clinical studies, and enhancing our understanding of various pediatric knee injury mechanisms. They also support intervention design and prediction of surgical outcomes in pediatric populations.