Latent transition analysis of time-varying cannabis use motives to inform adaptive interventions.

OBJECTIVE: The rising prevalence of daily cannabis use among older adolescents and young adults in the United States has significant public health implications. As a result, more individuals may be seeking or in need of treatment for adverse outcomes (e.g., cannabis use disorder) arising from excessive cannabis use. Our objective was to explore the potential of self-reported motives for cannabis use as a foundation for developing adaptive interventions tailored to reduce cannabis consumption over time or in certain circumstances. We aimed to understand how transitions in these motives, which can be collected with varying frequencies (yearly, monthly, daily), predict the frequency and adverse outcomes of cannabis use. METHOD: We conducted secondary analyses on data collected at different frequencies from four studies: the Medical Cannabis Certification Cohort Study (n = 801, biannually), the Cannabis, Health, and Young Adults Project (n = 359, annually), the Monitoring the Future Panel Study (n = 7,851, biennially), and the Text Messaging Study (n = 87, daily). These studies collected time-varying motives for cannabis use and distal measures of cannabis use from adolescents, young adults, and adults. We applied latent transition analysis with random intercepts to analyze the data. RESULTS: We identified the types of transitions in latent motive classes that are predictive of adverse outcomes in the future, specifically transitions into or staying in classes characterized by multiple motives. CONCLUSIONS: The identification of such transitions has direct implications for the development of adaptive interventions designed to prevent adverse health outcomes related to cannabis use. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Medicinal cannabis use among young adults during California's transition from legalized medical use to adult-use: a longitudinal analysis.

Background: In 2016, California transitioned from legalized medical cannabis use to adult-use. Little is known about how this policy change affected medicinal cannabis use among young adults.Objectives: To identify longitudinal groups of medicinal cannabis users and concurrent changes in health- and cannabis use-related characteristics among young adults in Los Angeles between 2014 and 2021.Methods: Cannabis users (210 patients and 156 non-patients; 34% female; ages 18-26 at baseline) were surveyed annually across six waves. Longitudinal latent class analysis derived groups from two factors - cannabis patient status and self-reported medicinal use. Trajectories of health symptoms, cannabis use motives, and cannabis use (daily/near daily use, concentrate use, and problematic use) were estimated across groups.Results: Three longitudinal latent classes emerged: Recreational Users (39.3%) - low self-reported medicinal use and low-to-decreasing patient status; Recreational Patients (40.4%) - low self-reported medicinal use and high-to-decreasing patient status; Medicinal Patients (20.3%) - high self-reported medicinal use and high-to-decreasing patient status. At baseline, Medicinal Patients had higher levels of physical health symptoms and motives than recreational groups (p < .05); both patient groups reported higher level of daily/near daily and concentrate use (p < .01). Over time, mental health symptoms increased in recreational groups (p < .05) and problematic cannabis use increased among Recreational Patients (p < .01).Conclusions: During the transition to legalized adult-use, patterns of medicinal cannabis use varied among young adults. Clinicians should monitor increases in mental health symptoms and cannabis-related problems among young adults who report recreational - but not medicinal - cannabis use.

Mental and Physical Health-Related Cannabis Motives Mediate the Relationship between Childhood Trauma and Problematic Cannabis Use over Time among Emerging Adult Cannabis Users.

BACKGROUND: While growing evidence has identified mental and physical health-related cannabis use motives as significant mechanisms between childhood trauma and problematic cannabis use (PCU) for emerging adults (EA), there is a need to understand the longitudinal stability of these pathways and how they impact PCU as cannabis users age into later adulthood. METHODS: The current study extends an analysis examining the impact of childhood trauma (e.g., emotional abuse, sexual abuse) on multiple indicators of PCU through a range of cannabis use motives. 339 medical cannabis patient and non-patient EA users from the Los Angeles area were sampled at baseline (mean age = 21.23; SD = 2.48). The present analysis used four waves of follow-up data collected from 2016 to 2018 (W3, W4) and 2019-2020 (W5, W6). RESULTS: Use of cannabis to cope with nausea, sleep, pain, and emotional distress mediated the relationships between some types of childhood abuse and PCU at W4, though most associations attenuated by later adulthood (W6). Specifically, greater emotional distress and nausea motives were associated with greater PCU in models of emotional abuse and neglect and sexual abuse, with emotional distress continuing to mediate at W6. Conversely, sleep and pain motives were associated with lower PCU in models for emotional neglect. CONCLUSIONS: Mental and physical health-related motives reflect potential intervenable factors that predict PCU in emerging adulthood among EA cannabis users with histories of childhood trauma. Results highlight the importance of and value for assessing a wide range of motives and PCU outcomes to target and address areas for intervention.

Predictive Dispatch of Volunteer First Responders: Algorithm Development and Validation.

BACKGROUND: Smartphone-based emergency response apps are increasingly being used to identify and dispatch volunteer first responders (VFRs) to medical emergencies to provide faster first aid, which is associated with better prognoses. Volunteers' availability and willingness to respond are uncertain, leading in recent studies to response rates of 17% to 47%. Dispatch algorithms that select volunteers based on their estimated time of arrival (ETA) without considering the likelihood of response may be suboptimal due to a large percentage of alerts wasted on VFRs with shorter ETA but a low likelihood of response, resulting in delays until a volunteer who will actually respond can be dispatched. OBJECTIVE: This study aims to improve the decision-making process of human emergency medical services dispatchers and autonomous dispatch algorithms by presenting a novel approach for predicting whether a VFR will respond to or ignore a given alert. METHODS: We developed and compared 4 analytical models to predict VFRs' response behaviors based on emergency event characteristics, volunteers' demographic data and previous experience, and condition-specific parameters. We tested these 4 models using 4 different algorithms applied on actual demographic and response data from a 12-month study of 112 VFRs who received 993 alerts to respond to 188 opioid overdose emergencies. Model 4 used an additional dynamically updated synthetic dichotomous variable, frequent responder, which reflects the responder's previous behavior. RESULTS: The highest accuracy (260/329, 79.1%) of prediction that a VFR will ignore an alert was achieved by 2 models that used events data, VFRs' demographic data, and their previous response experience, with slightly better overall accuracy (248/329, 75.4%) for model 4, which used the frequent responder indicator. Another model that used events data and VFRs' previous experience but did not use demographic data provided a high-accuracy prediction (277/329, 84.2%) of ignored alerts but a low-accuracy prediction (153/329, 46.5%) of responded alerts. The accuracy of the model that used events data only was unacceptably low. The J48 decision tree algorithm provided the best accuracy. CONCLUSIONS: VFR dispatch has evolved in the last decades, thanks to technological advances and a better understanding of VFR management. The dispatch of substitute responders is a common approach in VFR systems. Predicting the response behavior of candidate responders in advance of dispatch can allow any VFR system to choose the best possible response candidates based not only on ETA but also on the probability of actual response. The integration of the probability to respond into the dispatch algorithm constitutes a new generation of individual dispatch, making this one of the first studies to harness the power of predictive analytics for VFR dispatch. Our findings can help VFR network administrators in their continual efforts to improve the response times of their networks and to save lives.

Pre-Post Cannabis Legalization for Adult Use: A Trend Study of Two Cohorts of Young Adult Cannabis Users in Los Angeles.

Cannabis was legalized for adult use in California in 2016 for individuals 21 and older. Among 18-20-years-olds, who can possess cannabis legally as medical cannabis patients (MCP) but not as non-patient cannabis users (NPU), the impact of adult use legalization (AUL) on cannabis and other substance use is unknown. Two cohorts of 18-20-year-old cannabis users (MCP and NPU) were surveyed, one in 2014-15 (n = 172 "pre-AUL") and another in 2019-20 (n = 139 "post-AUL"), using similar data collection methods in Los Angeles, California. Logistic and negative binomial regressions estimated cohort and MCP differences for cannabis and other drug use outcomes based on past 90-day use. In both pre- and post-AUL cohorts, MCP were more likely to self-report medical cannabis use (p < .001) while the post-AUL cohort reported greater use of edibles (p < .01), but fewer mean days of alcohol (p < .05) and cigarette (p < .01) use in multivariate models. Notably, frequency of cannabis use (days or hits per day) did not significantly differ between the pre- and post-AUL cohorts, except for greater use of edibles, despite potentially greater access to cannabis.

Understanding Changes in Social Cannabis Use among Young Adults During the COVID-19 Pandemic: A Social Network Analysis.

Introduction: As the COVID-19 pandemic has caused historic morbidity and mortality and disrupted young people's social relationships, little is known regarding change in young adults' social cannabis use following social distancing orders, or other factors associated with such changes before and during the pandemic. Methods: 108 young adult cannabis users in Los Angeles reported on their personal (egocentric) social network characteristics, cannabis use, and pandemic-related variables before (July 2019 - March 2020) and during the COVID-19 pandemic (August 2020 - August 2021). Multinomial logistic regression identified factors associated with increasing or maintaining the number of network members (alters) participants used cannabis with before and during the pandemic. Multilevel modeling identified ego- and alter-level factors associated with dyadic cannabis use between each ego and alter during the pandemic. Results: Most participants (61%) decreased the number of alters they used cannabis with, 14% maintained, and 25% increased. Larger networks were associated with a lower risk of increasing (vs. decreasing); more supportive cannabis-using alters was associated with a lower risk of maintaining (vs. decreasing); relationship duration was associated with a greater risk of maintaining and increasing (vs. decreasing). During the COVID-19 pandemic (August 2020 - August 2021), participants were more likely to use cannabis with alters they also used alcohol with and alters who were perceived to have more positive attitudes towards cannabis. Conclusions: The present study identifies significant factors associated with changes in young adults' social cannabis use following pandemic-related social distancing. These findings may inform social network interventions for young adults who use cannabis with their network members amid such social restrictions.

COVID-19 Vaccine Uptake and Attitudes Within Two Cohorts of Younger Adult Cannabis Users.

It is crucial to understand COVID-19 vaccine uptake and attitudes among young adult cannabis users given the lowest vaccination rates among young adults and negative association between cannabis use and willingness to get vaccinated. 18-21-year-old and 26-33-year-old cohorts of cannabis users, recruited in California, were surveyed about the COVID-19 vaccine uptake/attitudes between March-August 2021. Cannabis use/demographic differences were investigated by vaccination status. Vaccine attitudes data were categorized and presented descriptively. 44.4% of the older and 71.8% of the younger cohorts were vaccinated. Non-Hispanic Black/African American race/ethnicity, lack of health insurance, and medicinal orientation towards cannabis use were negatively associated with vaccine receipt within the older cohort. For both cohorts, top reasons for vaccine hesitancy and rejection were concerns about speed of development, potential side effects, natural immunity, and lack of trust of vaccines. Our results highlight greater vaccine hesitance/rejection and need for targeted interventions among mid-20's-early-30's cannabis users.

Egocentric Network Characteristics and Cannabis Use in a Sample of Young Adult Medical Cannabis Patients and Nonpatient Users.

OBJECTIVE: Social factors play an important role in young adults' substance use behaviors, but little is known about how egocentric social network factors are related to young adults' cannabis use. Young adults also report medicinal and recreational uses of cannabis, which may alter the strength of these relationships. Therefore, medical cannabis patient status and medicinal/recreational orientation toward cannabis were examined as moderators of these relationships. METHOD: Young adult medical cannabis patients (n = 182) and nonpatient users (n = 157) were surveyed in Los Angeles in 2015-2016 about their cannabis use, orientation (medicinal and/or recreational), and egocentric networks (cannabis use network size, social support network size, descriptive and injunctive norms). Regression models examined associations between network characteristics and past-90-day use and problematic use, and tested interactions between network characteristics and both patient status and cannabis use orientation. RESULTS: Only descriptive norms (adjusted incidence rate ratio [aIRR] = 1.19, 95% confidence interval [CI] [1.06, 1.33]) were associated with more frequent use, but not problematic use. Descriptive norms interacted with cannabis use orientation: descriptive norms were positively associated with cannabis use days among medicinally oriented users (aIRR = 1.22, 95% CI [1.02, 1.46]). However, this relationship was stronger for recreationally oriented users (aIRR = 1.62, 95% CI [1.31, 2.01]). No interactions were found predicting problematic use. CONCLUSIONS: Descriptive cannabis use norms among one's personal network members are an important variable predicting young adults' cannabis use, but not problematic use. Perceived descriptive norms may be a stronger motivator to use for recreational users than medicinal users.

A Qualitative Study of Self and Caregiver Perspectives on How Autistic Individuals Cope With Trauma.

Background: Coping can moderate the relationship between trauma exposure and trauma symptoms. There are many conceptualisations of coping in the general population, but limited research has considered how autistic individuals cope, despite their above-average rates of traumatic exposure. Objectives: To describe the range of coping strategies autistic individuals use following traumatic events. Methods: Fourteen autistic adults and 15 caregivers of autistic individuals, recruited via stratified purposive sampling, completed semi-structured interviews. Participants were asked to describe how they/their child attempted to cope with events they perceived as traumatic. Using an existing theoretical framework and reflexive thematic analysis, coping strategies were identified, described, and organized into themes. Results: Coping strategies used by autistic individuals could be organized into 3 main themes: (1) Engaging with Trauma, (2) Disengaging from Trauma, and (3) Self-Regulatory Coping. After the three main themes were developed, a fourth integrative theme, Diagnostic Overshadowing, was created to capture participants' reports of the overlap or confusion between coping and autism-related behaviors. Conclusions: Autistic individuals use many strategies to cope with trauma, many of which are traditionally recognized as coping, but some of which may be less easily recognized given their overlap with autism-related behaviors. Findings highlight considerations for conceptualizing coping in autism, including factors influencing how individuals cope with trauma, and how aspects of autism may shape or overlap with coping behavior. Research building on these findings may inform a more nuanced understanding of how autistic people respond to adversity, and how to support coping strategies that promote recovery from trauma.

Changes in Racial/Ethnic Disparities in Opioid-Related Outcomes in Urban Areas during the COVID-19 Pandemic: A Rapid Review of the Literature.

Opioid use disorders (OUDs) are increasingly common among minoritized populations, who have historically experienced limited access to healthcare, a situation that may have worsened during the COVID-19 pandemic. Using a structured keyword search in Pubmed, we reviewed the literature to synthesize the evidence on changes in racial/ethnic disparities in OUD-related outcomes in urban areas during the COVID-19 pandemic in the US. Nine articles were included in the final analysis. Six found increases in OUD-related outcomes during the pandemic, with four showing a widening of disparities. Results also point to the worsening of opioid outcomes among Black and Latinx individuals related to shelter-in-place or stay-at-home orders. Studies examining the use of telehealth and access to OUD treatment showed that minoritized groups have benefited from telehealth programs. The limited number of studies in a small number of jurisdictions indicate a gap in research examining the intersection between COVID-19 and OUD-related outcomes with a focus on disparities. More research is needed to understand the impact of the COVID-19 pandemic and related policies on OUD outcomes among racial/ethnic minoritized groups, including examining the impact of service disruptions on vulnerable groups with OUD.

COVID-19's Impact on Substance Use and Well-Being of Younger Adult Cannabis Users in California: A Mixed Methods Inquiry.

Few qualitative studies have examined the impact of COVID-19 on cannabis and alcohol use, and overall well-being among cannabis users. Cannabis users (aged 26-32) were surveyed quantitatively (n=158) and interviewed qualitatively (n=29) in April 2020-May 2021 in Los Angeles. 63.3% of the quantitative sample reported increasing use of either cannabis (29.1%) or alcohol (15.2%) or both (19.0%) following the COVID-19 outbreak. Qualitative data revealed that increases in cannabis and alcohol use were largely attributed to changes in employment and staying at home resulting in fewer impediments and boredom. Themes of loneliness and utilization of various coping strategies were more pronounced among those who increased cannabis and/or alcohol use. For some, increases in cannabis/alcohol use were temporary until participants adjusted to "a new normal" or embraced more adaptive coping strategies. Results suggest monitoring cannabis/alcohol use trends and identifying coping strategies to reduce the pandemic's impact on substance use and mental health.

Miscarriage and Abortion Among Women Attending Harm Reduction Services in Philadelphia: Correlations With Individual, Interpersonal, and Structural Factors.

Background: Reproductive health research among women who use drugs has focused on pregnancy prevention and perinatal/neonatal outcomes, but there have been few investigations of miscarriage and abortion, including prevalence and associated factors. Methods: Using cross-sectional data from a sample of non-pregnant women receiving harm reduction services in Philadelphia in 2016-2017 we examined lifetime miscarriage and abortion (n = 187). Separately for both outcomes, we used modified Poisson regression to estimate prevalence ratios (PR) and 95% confidence intervals (CI) for associations with each correlate. We also explored correlates of reporting both miscarriage and abortion. Results: Approximately 47% experienced miscarriage, 42% experienced abortion, and 18% experienced both. Miscarriage correlates included: prescription opioid misuse (e.g., OxyContin PR 1.82, 95% CI 1.23, 2.69); 40% increase in prevalence associated with housing instability, 50% increase with survival sex, and two-fold increase with arrest. Abortion correlates included: mental health (e.g., depression PR 2.09, 95% CI 1.18, 3.71), stimulant use (e.g., methamphetamine PR 1.83, 95% CI 1.22, 2.74), and drug injection (PR 1.76, 95% CI 1.03, 3.02); partner controlling access to people/possessions, physical and emotional violence; and a two-fold increase associated with survival sex and arrest. Experiencing both reproductive outcomes was correlated with mental health, opioid and simulant use, housing instability, survival sex, and arrest. Conclusion: Miscarriage and abortion was common among women with history of drug misuse suggesting a need for expanded access to family planning, medication-assisted therapy, and social support services, and for the integration of these with substance use services. Future research in longitudinal data is needed.

Urban scaling of opioid overdose deaths in the USA: a cross-sectional study in three periods between 2005 and 2017.

OBJECTIVES: To describe the association between population size, population growth and opioid overdose deaths-overall and by type of opioid-in US commuting zones (CZs) in three periods between 2005 and 2017. SETTINGS: 741 CZs covering the entirety of the US CZs are aggregations of counties based on commuting patterns that reflect local economies. PARTICIPANTS: We used mortality data at the county level from 2005 to 2017 from the National Center for Health Statistics. OUTCOME: Opioid overdose deaths were defined using underlying and contributory causes of death codes from the International Classification of Diseases, 10th revision (ICD-10). We used the underlying cause of death to identify all drug poisoning deaths. Contributory cause of death was used to classify opioid overdose deaths according to the three major types of opioid, that is, prescription opioids, heroin and synthetic opioids other than methadone. RESULTS: Opioid overdose deaths were disproportionally higher in largely populated CZs. A CZ with 1.0% larger population had 1.10%, 1.10%, and 1.16% higher opioid death count in 2005-2009, 2010-2014, and 2015-2017, respectively. This pattern was largely driven by a high number of deaths involving heroin and synthetic opioids, particularly in 2015-2017. Population growth over time was associated with lower age-adjusted opioid overdose mortality rate: a 1.0% increase in population over time was associated with 1.4% (95% CI: -2.8% to 0.1%), 4.5% (95% CI: -5.8% to -3.2%), and 1.2% (95% CI: -4.2% to 1.8%) lower opioid overdose mortality in 2005-2009, 2010-2014, and 2015-2017, respectively. The association between positive population growth and lower opioid mortality rates was stronger in larger CZs. CONCLUSIONS: Opioid overdose mortality in the USA was disproportionately higher in mid-sized and large CZs, particularly those affected by declines in population over time, regardless of the region where they are located.

Coping Motives Mediate the Association of Trauma History with Problematic Cannabis Use in Young Adult Medical Cannabis Patients and Non-Patient Cannabis Users.

Background: Despite evidence of the contribution of childhood trauma to the development of problematic cannabis use, its mediating pathways are largely unknown. Given the link between cannabis motives with trauma and problematic cannabis use, motives of use may represent a construct through which trauma impacts problematic cannabis use. Methods: A sample of 339 medical cannabis patient and non-patient young adult users from the Los Angeles area were sampled at baseline and one year later. The current study examined the impact of childhood trauma on problematic use through a variety of cannabis use motives. Results: Controlling for age, socioeconomic status, perceived stress, and baseline problematic use, endorsing the use of cannabis to cope with distress at baseline uniquely mediated the associations between different childhood trauma types (e.g., physical abuse, neglect, sexual trauma) and problematic use one year later. Experience of any childhood trauma was positively associated with coping motives, whereas emotional and physical abuse were positively associated with pain motives, and sexual abuse was positively associated with sleep motives. Using cannabis for coping and increasing attention/focus were also positively associated with higher problematic use, whereas using cannabis for sleep was inversely associated with problematic use one year later. Conclusions: The motives of coping with distress and inattention may represent intermediate constructs through which trauma leads to later problematic cannabis use. Results highlight the need to clarify the pathways between health and non-health-oriented motives and cannabis use over time.

Exploring potential sources of childhood trauma: A qualitative study with autistic adults and caregivers.

LAY ABSTRACT: The stressors autistic individuals encounter and experience as traumatic may vary from those not on the spectrum and typically measured. We conducted in-depth interviews with autistic adults and caregivers of children and adults on the spectrum to identify potential sources of trauma for autistic individuals and evaluate the ability of a standard trauma measure to capture those experiences. Fourteen autistic adults and 15 caregivers with varied backgrounds, clinical profiles, and histories of adversity were interviewed. Participants also completed standard measures of autism, traumatic exposures, and stress. Interviews were analyzed to record both traditional sources of trauma, for comparison with the standard measure, and distinct sources, described as traumatic only in the narratives of participants. Participants described varied experiences as traumatic. Whereas some reflected traditional traumas (e.g. maltreatment) and forms of social marginalization, others reflected conflicts between autistic characteristics and the environment (e.g. sensory trauma). All adults and most caregivers described sources of trauma in interviews not reported on the standard measure. Results have implications for assessing traumatic events in autism and for understanding their contribution to the mental health of this group.

Multiple Victimizations and Overdose Among Women With a History of Illicit Drug Use.

The experiences of violence and overdose are highly prevalent among women who use illicit drugs. This study sought to ascertain whether multiple victimizations during adulthood increase the frequency of women's overdose. The sample comprised 218 women recruited at Philadelphia harm reduction sites during 2016-2017. Victimization was assessed as exposure to 16 types of adulthood violence. Three measures were constructed for multiple victimizations: continuous and categorical polyvictimization, and predominant violence domain. Negative binomial regression estimated the incidence rate ratio (IRR) of lifetime overdoses from multiple victimizations. Lifetime history of opioid use (88.6%) and drug injection (79.5%) were common. Among overdose survivors (68.5%), the median of lifetime overdoses was 3. The majority of participants (58.7%) were victims of predominantly sexual violence, 26.1% experienced predominantly physical abuse/assault, and 3.7% were victims of predominantly verbal aggression/coercive control. Participants reported a mean of seven violence types; the higher-score category of polyvictimization (9-16 violence types) comprised 41.7% of the total sample. In multivariable models, one-unit increase in continuous polyvictimization was associated with 4% higher overdose rates (IRR: 1.04, 95% confidence interval [CI]: [1.00, 1.08]). Compared to women who were not victimized (11.5%), those in the higher-score category of polyvictimization (IRR: 2.01; 95% CI: [1.06, 3.80]) and exposed to predominantly sexual violence (IRR: 2.10, 95% CI: [1.13, 3.91]) were expected to have higher overdose rates. Polyvictimization and sexual violence amplified the risk of repeated overdose among drug-involved women. Female overdose survivors need to be screened for exposure to multiple forms of violence, especially sexual violence. Findings underscore the need to scale-up victimization support and overdose prevention services for disenfranchised women.

Changes in Medical Cannabis Patient Status before and after Cannabis Legalization in California: Associations with Cannabis and Other Drug Use.

It is unknown how patterns of cannabis and other drug use changed among young adult cannabis users as they became, exited or stayed medical cannabis patients (MCPs) after California legalized cannabis for adult use in 2016. A cohort of 18-26 year-old cannabis users was recruited in Los Angeles in 2014-15 (64.8% male; 44.1% Hispanic/Latinx). Based on wave 1 (pre-legalization) and wave 4 (post-legalization) MCP status, four transition groups emerged: MCP, Into MCP, Out of MCP and NPU (non-patient user). Relationships between self-reported medical cannabis use, transition group membership, and cannabis/other drug use outcomes were examined. Changes in cannabis practices were consistent with changes in MCP status. Cannabis days, concentrate use, self-reported medical cannabis use and driving under influence of cannabis were highest among MCP, increased for Into MCP, and decreased for Out of MCP in wave 4. A majority of drug use outcomes decreased significantly by wave 4. Self-reported medical cannabis use was associated with more frequent cannabis use but less problematic cannabis and other drug use. Future studies should continue to monitor the impact of policies that legalize cannabis for medical or recreational use, and medical motivations for cannabis use on young adults' cannabis and other drug use.

Wearable biosensors have the potential to monitor physiological changes associated with opioid overdose among people who use drugs: A proof-of-concept study in a real-world setting.

INTRODUCTION: Wearable biosensors have the potential to monitor physiological change associated with opioid overdose among people who use drugs. METHODS: We enrolled 16 individuals who reported ≥ 4 daily opioid use events within the previous 30 day. Each was assigned a wearable biosensor that measured respiratory rate (RR) and actigraphy every 15 s for 5 days and also completed a daily interview assessing drug use. We describe the volume of RR data collected, how it varied by participant characteristics and drug use over time using repeated measures one-way ANOVA, episodes of acute respiratory depression (≤5 breaths/minute), and self-reported overdose experiences. RESULTS: We captured 1626.4 h of RR data, an average of 21.7 daily hours/participant over follow-up. Individuals with longer injection careers and those engaging in polydrug use captured significantly fewer total hours of respiratory data over follow-up compared to those with shorter injections careers (94.7 vs. 119.9 h, p = 0.04) and injecting fentanyl exclusively (98.7 vs. 119.5 h, p = 0.008), respectively. There were 385 drug use events reported over follow-up. There were no episodes of acute respiratory depression which corresponded with participant reports of overdose experiences. DISCUSSION: Our preliminary findings suggest that using a wearable biosensor to monitor physiological changes associated with opioid use was feasible. However, more sensitive biosensors that facilitate triangulation of multiple physiological data points and larger studies of longer duration are needed.

Attitudes and beliefs about recreational cannabis legalization among cannabis-using young adults in Los Angeles: Impact on concurrent cannabis practices and problematic cannabis use.

BACKGROUND: This study investigated differences in attitudes and beliefs about recreational cannabis legalization (RCL) among cannabis-using young adults comprised of medical cannabis patients (MCP) and non-patient users (NPU). We further investigated whether these variations are associated with concurrent cannabis practices and problematic use. METHOD: Cannabis-using young adults (N = 301) were interviewed between 2017 and 2018 - after RCL and through the early months after storefront sales began. Latent class analysis empirically derived groups based on participants' attitudes/beliefs about the impact of RCL. Socio-demographic factors, patient status, medicinal and/or recreational use, and social norms differentiated latent class memberships, while concurrent cannabis practices and problematic use served as distal outcomes. The manual Bolck, Croon, and Hagenaars (BCH) three-step process modeled all covariates and distal outcomes simultaneously in the final LCA solution. RESULTS: Three patterns emerged: Impacted (RCL had broad impact on attitudes/beliefs) (n = 113), Partially-Impacted (RCL had some impact on attitudes/beliefs) (n = 131) and Neutral (RCL had no/limited impact) (n = 57). MCP were more likely to be Neutral than Partially-Impacted users while those who reported recreational cannabis use were more likely to be Impacted than Neutral users. Class membership predicted cannabis practices and problematic use with Impacted individuals reporting the greatest recent days of use, number of hits per day, and highest scores in problematic cannabis use compared to Partially-Impacted and Neutral users. CONCLUSION: Variability in attitudes/beliefs about RCL served as strong drivers of concurrent cannabis practices and problematic use. Findings provide an important baseline for tracking attitudes/beliefs' long-term health and substance use impact as retail cannabis sales evolve.

Willingness to use a wearable device capable of detecting and reversing overdose among people who use opioids in Philadelphia.

BACKGROUND: The incidence of opioid-related overdose deaths has been rising for 30 years and has been further exacerbated amidst the COVID-19 pandemic. Naloxone can reverse opioid overdose, lower death rates, and enable a transition to medication for opioid use disorder. Though current formulations for community use of naloxone have been shown to be safe and effective public health interventions, they rely on bystander presence. We sought to understand the preferences and minimum necessary conditions for wearing a device capable of sensing and reversing opioid overdose among people who regularly use opioids. METHODS: We conducted a combined cross-sectional survey and semi-structured interview at a respite center, shelter, and syringe exchange drop-in program in Philadelphia, Pennsylvania, USA, during the COVID-19 pandemic in August and September 2020. The primary aim was to explore the proportion of participants who would use a wearable device to detect and reverse overdose. Preferences regarding designs and functionalities were collected via a questionnaire with items having Likert-based response options and a semi-structured interview intended to elicit feedback on prototype designs. Independent variables included demographics, opioid use habits, and previous experience with overdose. RESULTS: A total of 97 adults with an opioid use history of at least 3 months were interviewed. A majority of survey participants (76%) reported a willingness to use a device capable of detecting an overdose and automatically administering a reversal agent upon initial survey. When reflecting on the prototype, most respondents (75.5%) reported that they would wear the device always or most of the time. Respondents indicated discreetness and comfort as important factors that increased their chance of uptake. Respondents suggested that people experiencing homelessness and those with low tolerance for opioids would be in greatest need of the device. CONCLUSIONS: The majority of people sampled with a history of opioid use in an urban setting were interested in having access to a device capable of detecting and reversing an opioid overdose. Participants emphasized privacy and comfort as the most important factors influencing their willingness to use such a device. TRIAL REGISTRATION: NCT04530591.