Characterization of peer support services for substance use disorders in 11 US emergency departments in 2020: findings from a NIDA clinical trials network site selection process.

INTRODUCTION: Emergency departments (ED) are incorporating Peer Support Specialists (PSSs) to help with patient care for substance use disorders (SUDs). Despite rapid growth in this area, little is published regarding workflow, expectations of the peer role, and core components of the PSS intervention. This study describes these elements in a national sample of ED-based peer support intervention programs. METHODS: A survey was conducted to assess PSS site characteristics as part of site selection process for a National Institute on Drug Abuse (NIDA) Clinical Trials Network (CTN) evaluating PSS effectiveness, Surveys were distributed to clinical sites affiliated with the 16 CTN nodes. Surveys were completed by a representative(s) of the site and collected data on the PSS role in the ED including details regarding funding and certification, services rendered, role in medications for opioid use disorder (MOUD) and naloxone distribution, and factors impacting implementation and maintenance of ED PSS programs. Quantitative data was summarized with descriptive statistics. Free-text fields were analyzed using qualitative content analysis. RESULTS: A total of 11 surveys were completed, collected from 9 different states. ED PSS funding was from grants (55%), hospital funds (46%), peer recovery organizations (27%) or other (18%). Funding was anticipated to continue for a mean of 16 months (range 12 to 36 months). The majority of programs provided "general recovery support (81%) Screening, Brief Intervention, and Referral to Treatment (SBIRT) services (55%), and assisted with naloxone distribution to ED patients (64%). A minority assisted with ED-initiated buprenorphine (EDIB) programs (27%). Most (91%) provided services to patients after they were discharged from the ED. Barriers to implementation included lack of outpatient referral sources, barriers to initiating MOUD, stigma at the clinician and system level, and lack of ongoing PSS availability due to short-term grant funding. CONCLUSIONS: The majority of ED-based PSSs were funded through time-limited grants, and short-term grant funding was identified as a barrier for ED PSS programs. There was consistency among sites in the involvement of PSSs in facilitation of transitions of SUD care, coordination of follow-up after ED discharge, and PSS involvement in naloxone distribution.

Cannabis Perceptions and Patterns of Use Among Older Adult Cancer Survivors.

Objectives: To descriptively assess cannabis perceptions and patterns of use among older adult cancer survivors in a state without a legal cannabis marketplace. Methods: This study used weighted prevalence estimates to cross-sectionally describe cannabis perceptions and patterns of use among older (65+) adults (N = 524) in a National Cancer Institute-designated center in a state without legal cannabis access. Results: Half (46%) had ever used cannabis (18% following diagnosis and 10% currently). Only 8% had discussed cannabis with their provider. For those using post-diagnosis, the most common reason was for pain (44%), followed by insomnia (43%), with smoking being the most common (40%) mode of use. Few (<3%) reported that cannabis had worsened any of their symptoms. Discussion: Even within a state without a legal cannabis marketplace, older cancer survivors might commonly use cannabis to alleviate health concerns but unlikely to discuss this with their providers.

Effects of Ovarian Hormone Levels on Stress, Cigarette Craving, and Smoking in a Laboratory Relapse Paradigm Among Females Who Smoke Daily.

INTRODUCTION: Females, versus males, have shown a slower decline in smoking prevalence, greater smoking-related mortality and morbidity, and tend to have more difficulty achieving and maintaining abstinence. Identifying sex-specific risk factors is needed to improve outcomes. Though ovarian hormones have been evaluated for their role in smoking and relapse, measures tend to be static and infrequent, failing to capture the influence of increasing or decreasing levels. AIMS AND METHODS: The present study evaluated the effect of static and fluctuating levels of ovarian hormones (ie, progesterone, estradiol, and estrogen to progesterone [E/P] ratio) on stress reactivity, cigarette craving, and smoking during a laboratory relapse paradigm. Female participants (assigned female at birth) reporting daily cigarette smoking (N = 91, ages 18-45) were recruited from the community. Participants provided daily salivary ovarian hormone levels leading up to a laboratory session, in which stress was induced and stress reactivity, cigarette craving, latency to smoke, and ad-libitum smoking were measured. RESULTS: Static levels of estradiol were associated with stress reactivity (ß = 0.28, SE = 0.13) and static E/P ratio was associated with smoking in the laboratory (HR = 1.4). Preceding 3-day changes in estradiol and E/P ratio, but neither static levels nor preceding 3-day changes in progesterone were associated with stress reactivity, cigarette craving, or smoking in a relapse paradigm. CONCLUSIONS: Ovarian hormones are among several sex-specific factors involved in the complex neuroendocrine response to stress, and their interaction with other biological, social, and psychological factors in the real-world environment is not yet fully understood. IMPLICATIONS: Findings of the present study provide novel information regarding the role of ovarian hormones among female participants who smoke daily in stress reactivity and smoking in the context of a laboratory relapse paradigm and highlight several avenues for future research. We found that same-day estradiol levels were associated with increased subjective stress reactivity and same-day estrogen to progesterone ratio was associated with increased likelihood of smoking in a relapse paradigm. Ovarian hormones are among several sex-specific factors contributing to the complex neuroendocrine response to stress, and their interaction with other biological, social, and psychological factors in the real-world environment is not yet fully understood.

Toward the advancement of equity in scientific publishing.

Peer review represents the foundation and gatekeeper to scientific dissemination, making it among the most important points to improve the representation of members of diverse gender, racial/ethnic, and other sociodemographic groups. The American Psychological Association (APA) highlights equity, diversity, and inclusion among its guiding principles. APA journals publish a large volume of cutting-edge psychological research (processing 20,000 + submissions per year) and reach a wide audience and have the unique opportunity to contribute to APA's mission by disseminating data on the diversity of those involved in the production of psychological science. In this commentary, we highlight recommendations for actionable steps to promote greater equity in the peer review process. While our recommendations are not exhaustive, we hope that they are steps in the right direction and will contribute to conversations that have already begun regarding actions to address underrepresentation in the scientific process. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Temporal associations linking alcohol and cannabis use to cigarette smoking in young adults engaged in a tobacco cessation and relapse monitoring study.

Young adulthood remains a developmental period in which cigarette smoking initiation and progression to dependence and regular use is common. Moreover, co-use of alcohol and/or cannabis with tobacco is common in this age group and may have detrimental effects on tobacco use rates and cessation outcomes. Although young adults are interested in quitting smoking, achieving abstinence remains difficult, even with evidence-based treatment strategies. Understanding proximal associations between other substance use (e.g., alcohol and cannabis) and smoking may have important treatment implications. This exploratory analysis investigated the role of alcohol and/or cannabis use in contributing to smoking events on the same day or next day among young adults engaged in a smoking cessation and relapse monitoring study. We used ecological momentary assessment (EMA) data from 43 young adults (ages 18-25; 932 observations) who smoked cigarettes daily and agreed to participate in a 5-week study that included a 2-day smoking quit attempt and provision of tobacco treatment in the form of nicotine replacement therapy, brief cessation counseling, and financial incentives for abstinence (incentives were provided only during the 2-day quit attempt). We tested multilevel time-series models of daily associations between alcohol use, cannabis use, and smoking. Consistent with hypotheses, days on which participants were more likely to drink alcohol predicted increased likelihood of smoking the next day (OR = 2.27, p =.003). This effect was significant after controlling for both the one-day lagged effect of smoking (i.e., autoregression) and the concurrent (i.e., same day) effects of drinking and cannabis use. Although there was a positive concurrent effect of cannabis use on smoking (OR = 12.86, p =.003), the one-day lagged effect of cannabis use and the concurrent effect of drinking was not significant, contrary to hypotheses. Results indicate that alcohol use presents a potential threat to successful smoking cessation that extends to the following day. This suggests a risk-window in which treatment could be supplemented with just-in-time interventions and extending the focus on co-use to include this lagged impact on cessation outcomes.

Remote Carbon Monoxide Capture via REDCap: Evaluation of an Integrated Mobile Application.

INTRODUCTION: To improve the feasibility of remote biochemical verification of smoking status, our team developed "COast", a mobile app integrated with REDCap that allows a research participant to complete self-report research assessments and provide a breath sample via the iCOQuit® Smokerlyzer® for the purposes of carbon monoxide (CO) testing. The aims of the present study were to examine: 1) the validity of remote CO data capture using COast as compared to gold standard approaches (salivary cotinine, stand-alone CO monitor) and 2) the feasibility of remote CO data capture using COast as applied to both daily and weekly CO collection schedules. METHODS: Participants (N=143, 59% Female), including recently quit (n=36) and current (n=107) smokers, completed a baseline video session to capture validity data, and then were randomized to daily or weekly CO monitoring for a period of one month. RESULTS: Balancing both sensitivity and specificity, optimal cut-points for defining abstinence using the COast system were < 4 parts per million (ppm) with salivary cotinine as the referent (Sensitivity = 100%, Specificity = 92.8%) and < 8ppm with the stand-alone CO monitor as the referent (Sensitivity = 100%, Specificity = 88.9%). Compliance across groups with CO monitoring was high with average compliance of 74% for the daily group and 84% for the weekly group. Self-reported feasibility and acceptability of using the system were strong. CONCLUSIONS: Pairing the iCOQuit with REDCap via the COast app was both valid and feasible among a sample of adults who smoke cigarettes enrolled remotely. This integration may help to improve the rigor of decentralized smoking cessation trials. IMPLICATIONS: With increasing prevalence of decentralized trial designs, innovative methods are needed to remotely capture biomarkers. Methods that leverage existing widely available research data capture platforms may be particularly useful for promoting adoption. The COast app, which integrates a Bluetooth-enabled carbon monoxide monitor with REDCap, is a fitting, valid, feasible solution to remotely biochemically verify smoking status.

Effects of Hyperdirect Pathway Theta Burst Transcranial Magnetic Stimulation on Inhibitory Control, Craving, and Smoking in Adults With Nicotine Dependence: A Double-Blind, Randomized Crossover Trial.

BACKGROUND: Nicotine dependence is associated with dysregulated hyperdirect pathway (HDP)-mediated inhibitory control (IC). However, there are currently no evidence-based treatments that have been shown to target the HDP to improve IC and reduce cigarette cravings and smoking. METHODS: Following a baseline nonstimulation control session, this study (N = 37; female: n = 17) used a double-blind, randomized crossover design to examine the behavioral and neural effects of intermittent theta burst stimulation (iTBS) and continuous TBS (cTBS) to the right inferior frontal gyrus (rIFG)-a key cortical node of the HDP. Associations between treatment effects were also explored. RESULTS: At baseline, HDP IC task-state functional connectivity was positively associated with IC task performance, which confirmed the association between HDP circuit function and IC. Compared with iTBS, rIFG cTBS improved IC task performance. Compared with the baseline nonstimulation control session, both TBS conditions reduced cigarette craving and smoking; however, although craving and smoking were lower for cTBS, no differences were found between the two active conditions. In addition, although HDP IC task-state functional connectivity was greater following cTBS than iTBS, there was no significant difference between conditions. Finally, cTBS-induced improvement in IC task performance was associated with reduced craving, and cTBS-induced reduction in craving was associated with reduced smoking. CONCLUSIONS: These findings warrant further investigation into the effects of rIFG cTBS for increasing IC and reducing craving and smoking among individuals with nicotine dependence. Future sham-controlled cTBS studies may help further elucidate the mechanisms by which rIFG cTBS mediates IC and smoking behavior.

Monitoring Cigarette Smoking and Relapse in Young Adults With and Without Remote Biochemical Verification: Randomized Brief Cessation Study.

BACKGROUND: Technological advancements to study young adult smoking, relapse, and to deliver interventions remotely offer conceptual appeal, but the incorporation of technological enhancement must demonstrate benefit over traditional methods without adversely affecting outcomes. Further, integrating remote biochemical verification of smoking and abstinence may yield value in the confirmation of self-reported smoking, in addition to ecologically valid, real-time assessments. OBJECTIVE: The goal of this study was to evaluate the impact of remote biochemical verification on 24-hour self-reported smoking and biochemical verification agreement, retention, compliance with remote sessions, and abstinence during a brief, 5-week cessation attempt and relapse monitoring phase. METHODS: Participants (N=39; aged 18-25 years; mean age 21.6, SD 2.1 years; n=22, 56% male; n=29, 74% White) who smoked cigarettes daily engaged in a 5-week cessation and monitoring study (including a 48-hour quit attempt and provision of tobacco treatment in the form of nicotine replacement therapy, brief cessation counseling, and financial incentives for abstinence during the 2-day quit attempt only). Smoking (cigarettes per day) was self-reported through ecological momentary assessment (EMA) procedures, and participants were randomized to either (1) the inclusion of remote biochemical verification (EMA + remote carbon monoxide [rCO]) 2× per day or (2) in-person, weekly CO (wCO). Groups were compared on the following outcomes: (1) agreement in self-reported smoking and breath carbon monoxide (CO) at common study time points, (2) EMA session compliance, (3) retention in study procedures, and (4) abstinence from smoking during the 2-day quit attempt and at the end of the 5-week study. RESULTS: No significant differences were demonstrated between the rCO group and the wCO (weekly in-person study visit) group on agreement between 24-hour self-reported smoking and breath CO (moderate to poor), compliance with remote sessions, or retention, though these outcomes numerically favored the wCO group. Abstinence was numerically higher in the wCO group after the 2-day quit attempt and significantly different at the end of treatment (day 35), favoring the wCO group. CONCLUSIONS: Though study results should be interpreted with caution given the small sample size, findings suggest that the inclusion of rCO breath added to EMA compared to EMA with weekly, in-person CO collection in young adults did not yield benefit and may have even adversely affected outcomes. Our results suggest that technological advancements may improve data accuracy through objective measurement but may also introduce barriers and burdens and could result in higher rates of missing data. The inclusion of technology to inform smoking cessation research and intervention delivery among young adults should consider (1) the research question and necessity of biochemical verification and then (2) how to seamlessly incorporate monitoring into personalized and dynamic systems to avoid the added burden and detrimental effects to compliance and honesty in self-report.

Cannabis use prevalence, patterns, and reasons for use among patients with cancer and survivors in a state without legal cannabis access.

PURPOSE: Cannabis use among patients with cancer is common, yet data are limited regarding use patterns, reasons for use, and degree of benefit, which represents an unmet need in cancer care delivery. This need is salient in states without legal cannabis programs, where perceptions and behavior among providers and patients may be affected. METHODS: A cross-sectional survey of patients with cancer and survivors at the Hollings Cancer Center at the Medical University of South Carolina (no legal cannabis marketplace in SC) was completed as part of the NCI Cannabis Supplement. Patients (ages 18 +) were recruited using probability sampling from patient lists (N = 7749 sampled; N = 1036 completers). Weight-adjusted Chi-square tests compared demographics and cancer details among patients using cannabis since diagnosis versus those not using cannabis, while weighted descriptives are presented for cannabis use prevalence, consumption, symptom management, and legalization beliefs. RESULTS: Weighted prevalence of cannabis use since diagnosis was 26%, while current cannabis use was 15%. The most common reasons for cannabis use after diagnosis were difficulty sleeping (50%), pain (46%), and mood changes and stress, anxiety, or depression (45%). Symptom improvement was endorsed for pain (57%), stress/anxiety/depression (64%), difficulty sleeping (64%), and loss of appetite (40%). CONCLUSIONS: Among patients with cancer and survivors at a NCI-designated cancer center within SC, a state without legal access to medical cannabis, prevalence rates, and reasons for cannabis use are consistent with emerging literature in oncology populations. These findings have implications for care delivery, and work is needed to inform recommendations for providers and patients.

Prevalence of depressive symptoms and cannabis use among adult cigarette smokers in Canada: cross-sectional findings from the 2020 International Tobacco Control Policy Evaluation Project Canada Smoking and Vaping Survey.

BACKGROUND: Tobacco smoking and cannabis use are independently associated with depression, and evidence suggests that people who use both tobacco and cannabis (co-consumers) are more likely to report mental health problems, greater nicotine dependence and alcohol misuse than those who use either product exclusively. We examined prevalence of cannabis use and depressive symptoms among Canadian adults who smoke cigarettes and tested whether co-consumers of cannabis and tobacco were more likely to report depressive symptoms than cigarette-only smokers; we also tested whether cigarette-only smokers and co-consumers differed on cigarette dependence measures, motivation to quit smoking and risky alcohol use by the presence or absence of depressive symptoms. METHODS: We analyzed cross-sectional data from adult (age ≥ 18 yr) current (≥ monthly) cigarette smokers from the Canadian arm of the 2020 International Tobacco Control Policy Evaluation Project Four Country Smoking and Vaping Survey. Canadian respondents were recruited from Leger's online probability panel across all 10 provinces. We estimated weighted percentages for depressive symptoms and cannabis use among all respondents and tested whether co-consumers (≥ monthly use of cannabis and cigarettes) were more likely to report depressive symptoms than cigarette-only smokers. Weighted multivariable regression models were used to identify differences between co-consumers and cigarette-only smokers with and without depressive symptoms. RESULTS: A total of 2843 current smokers were included in the study. The prevalence of past-year, past-30-day and daily cannabis use was 44.0%, 33.2% and 16.1%, respectively (30.4% reported using cannabis at least monthly). Among all respondents, 30.0% screened positive for depressive symptoms, with co-consumers being more likely to report depressive symptoms (36.5%) than those who did not report current cannabis use (27.4%, p < 0.001). Depressive symptoms were associated with planning to quit smoking (p = 0.01), having made multiple attempts to quit smoking (p < 0.001), the perception of being very addicted to cigarettes (p < 0.001) and strong urges to smoke (p = 0.001), whereas cannabis use was not (all p ≥ 0.05). Cannabis use was associated with high-risk alcohol consumption (p < 0.001), whereas depressive symptoms were not (p = 0.1). INTERPRETATION: Co-consumers were more likely to report depressive symptoms and high-risk alcohol consumption; however, only depression, and not cannabis use, was associated with greater motivation to quit smoking and greater perceived dependence on cigarettes. A deeper understanding of how cannabis, alcohol use and depression interact among people who smoke cigarettes is needed, as well as how these factors affect cessation activity over time.

Who responds to a multi-component treatment for cannabis use disorder? Using multivariable and machine learning models to classify treatment responders and non-responders.

BACKGROUND AND AIMS: Treatments for cannabis use disorder (CUD) have limited efficacy and little is known about who responds to existing treatments. Accurately predicting who will respond to treatment can improve clinical decision-making by allowing clinicians to offer the most appropriate level and type of care. This study aimed to determine whether multivariable/machine learning models can be used to classify CUD treatment responders versus non-responders. METHODS: This secondary analysis used data from a National Drug Abuse Treatment Clinical Trials Network multi-site outpatient clinical trial in the United States. Adults with CUD (n = 302) received 12 weeks of contingency management, brief cessation counseling and were randomized to receive additionally either (1) N-Acetylcysteine or (2) placebo. Multivariable/machine learning models were used to classify treatment responders (i.e. two consecutive negative urine cannabinoid tests or a 50% reduction in days of use) versus non-responders using baseline demographic, medical, psychiatric and substance use information. RESULTS: Prediction performance for various machine learning and regression prediction models yielded area under the curves (AUCs) >0.70 for four models (0.72-0.77), with support vector machine models having the highest overall accuracy (73%; 95% CI = 68-78%) and AUC (0.77; 95% CI = 0.72, 0.83). Fourteen variables were retained in at least three of four top models, including demographic (ethnicity, education), medical (diastolic/systolic blood pressure, overall health, neurological diagnosis), psychiatric (depressive symptoms, generalized anxiety disorder, antisocial personality disorder) and substance use (tobacco smoker, baseline cannabinoid level, amphetamine use, age of experimentation with other substances, cannabis withdrawal intensity) characteristics. CONCLUSIONS: Multivariable/machine learning models can improve on chance prediction of treatment response to outpatient cannabis use disorder treatment, although further improvements in prediction performance are likely necessary for decisions about clinical care.

The Role of Emotion Differentiation in the Association Between Momentary Affect and Tobacco/Nicotine Craving in Young Adults.

INTRODUCTION: Tobacco/nicotine use is commonly initiated during adolescence or young adulthood, which increases the likelihood of continued use into adulthood and related adverse health outcomes. Despite interest in cessation, achieving and maintaining abstinence is difficult among this population. Cravings are often a barrier to abstinence, which have been associated with intensity of affect at the moment level. Emotion differentiation involves the ability to distinguish between discrete emotion states, and previous work suggests it may moderate the effect of momentary affect on craving, which has never been explored among young adults who are smoking or vaping nicotine. AIMS AND METHODS: In a sample of young adults (N = 37, observations = 2020, ages 18-25, 51% female, and 78% white) interested in quitting smoking or vaping, we used real-time, naturalistic data capture via mobile phones to examine the interaction of momentary affect and trait emotion differentiation on nicotine craving. Participants were prompted with four surveys per day for 35 days and asked to make a 48-h quit attempt on day 7. RESULTS: Multilevel models showed moments of higher-than-average momentary negative affect (NA; b = 0.39, p < .001), and positive affect (PA; b = 0.26, p = .001) were associated with greater levels of craving. NA emotion differentiation significantly moderated the associations between PA and craving (b = -0.63, p = .031) and NA and craving (b = -0.67, p = .003). CONCLUSIONS: Findings from this exploratory analysis suggest that for young adults engaging in a nicotine quit attempt, greater ability to differentiate NA weakens the momentary association between intense affect and craving. IMPLICATIONS: Results of this study show that the ability to differentiate between discrete emotional experiences may protect young adults against nicotine craving during moments of intense affective experience. These preliminary findings suggest that emotion differentiation, a modifiable construct, could be an important treatment target for individuals engaged in treatment for nicotine dependence.

Determining the impact of cannabis use and severity on tobacco cessation outcomes: study protocol for a prospective tobacco treatment trial.

BACKGROUND: Several evidence-based tobacco cessation treatment strategies exist, though significant barriers to cessation remain which must be addressed to improve abstinence rates for sub-populations of those smoking cigarettes. Cannabis co-use among those who use tobacco is common and appears to be increasing among adults in the United States (US). The literature evaluating the impact of cannabis use on tobacco cessation has been mixed and has several important limitations, which precludes development of treatment recommendations specific to individuals who use tobacco and co-use cannabis. To date, no prospective studies have evaluated the impact of cannabis use and severity on tobacco cessation or quantified cannabis use changes during tobacco treatment to assess for concurrent reductions, abstinence, or compensatory (i.e., increased) cannabis use. This study's aims are to: (1) evaluate tobacco cessation outcomes among participants who co-use cannabis compared to participants only using tobacco, (2) using daily diaries and biochemical verification, assess changes in cannabis use during tobacco treatment, and (3) assess for a dose-dependent impact of cannabis use on tobacco cessation. METHOD: A multi-site, prospective, quasi-experimental 12-week tobacco treatment trial enrolling treatment-seeking adults (ages 18-40; N = 208) from three sites across South Carolina (US) who use tobacco daily and oversampling (2:1) those who co-use cannabis. Participants receive tobacco cessation pharmacotherapy (varenicline) paired with behavioral support, while cannabis use is not addressed as part of treatment. The primary outcome is 7-day point prevalence tobacco abstinence at the week 12 end of treatment visit, measured via biochemical verification and self-report. Secondary outcome measures include changes in cannabis use (via biochemical verification and self-report) during tobacco cessation treatment. DISCUSSION: Results from this trial have the potential to inform tobacco treatment among those co-using cannabis, which may require a tailored approach to address the role of cannabis in quitting tobacco. TRIAL REGISTRATION: The trial is registered with ClinicalTrials.gov: NCT04228965. January 14th, 2020.

Cannabis and nicotine co-use among primary care patients in a state with legal cannabis access.

The aim of this exploratory analysis was to evaluate cannabis exposure, reasons for use and problematic cannabis use among adult primary care patients in Washington state (United States) who co-use cannabis and nicotine (tobacco cigarettes and/or nicotine vaping) compared to patients who endorse current cannabis use only. As part of a NIDA Clinical Trials Network (CTN) parent study, patients who completed a cannabis screen as part of routine primary care were randomly sampled (N = 5,000) to a receive a confidential cannabis survey. Patients were stratified and oversampled based on the frequency of past-year cannabis use and for Black, indigenous, or other persons of color. Patients who endorsed past 30-day cannabis use are included here (N = 1388). Outcomes included; prevalence of cannabis use, days of cannabis use per week and times used per day, methods of use, THC:CBD content, non-medical and/or medical use, health symptoms managed, and cannabis use disorder (CUD) symptom severity. We conducted unadjusted bivariate analyses comparing outcomes between patients with cannabis and current nicotine co-use to patients with cannabis-only use. Nicotine co-use (n = 352; 25.4 %) was associated with differences in method of cannabis use, THC:CBD content, days of use per week and times used per day, number of health symptoms managed, and CUD severity (all p < 0.001), compared to primary care patients with cannabis-only use (n = 1036). Interventions targeting cannabis and nicotine co-use in primary care are not well-established and further research is warranted given findings of more severe cannabis use patterns and the adverse health outcomes associated with co-use.

Differences between adults who smoke cigarettes daily and do and do not co-use cannabis: Findings from the 2020 ITC four country smoking and vaping survey.

BACKGROUND: Little is known about population-level differences between adults who exclusively smoke cigarettes and those who smoke cigarettes and also use cannabis (co-consumers). Thus, this study describes differences on sociodemographic, cigarette-dependence, health and behavioral variables, and risk perceptions associated with smoking cannabis. METHODS: This cross-sectional study included 6941 respondents from the 2020 ITC Four Country Smoking and Vaping Survey (US, Canada, Australia, England). Adult daily cigarette smokers were included and categorized as: cigarette-only smokers (never used cannabis/previously used cannabis, but not in the past 12 months, n = 4857); occasional co-consumers (cannabis use in the past 12 months, but < weekly use, n = 739); or regular co-consumers (use cannabis ≥ weekly, n = 1345). All outcomes were self-reported. Regression models were conducted on weighted data. RESULTS: Overall, 19.9 % of respondents reported regular cannabis co-use and 10.1 % reported occasional co-use. Regular co-use was highest in Canada (27.2 %), followed by the US (24.4 %), England (12.7 %) and Australia (12.3 %). Compared to cigarette-only smokers, regular co-consumers were more likely to be male and report chest/breathing problems (p < 0.001). All co-consumers were more likely to be younger, have lower income, be experiencing financial stress, reside in Canada, have depressive symptoms, use alcohol more frequently and binge drink, use other tobacco/nicotine products, and perceive smoking cannabis as low health risk and less harmful than smoking cigarettes (all p < 0.001). Cigarette dependence measures were similar between co-consumers and cigarette-only smokers (all p ≥ 0.05). CONCLUSIONS: Although there were no differences on cigarette dependence measures between daily cigarette smokers who do and do not use cannabis, there are several other risk factors that may affect tobacco use and abstinence among co-consumers (e.g., greater depression, high-risk alcohol consumption). Thus, tobacco cessation treatment may require multi-pronged strategies to address other health behaviors. Continued surveillance is needed to determine the nature and health implications of co-use considering changing policies, markets, and products.

Characterization of Salivary Progesterone in Female Smokers.

INTRODUCTION: Fluctuations in ovarian hormones have been associated with changes in cigarette smoking behavior, which can be measured through both serum or less invasive salivary procedures. The primary aim of this exploratory study is to characterize the progesterone profiles of salivary progesterone measurements and to compare that with the profiles estimated from a previously measured serum sample. AIMS AND METHODS: Nontreatment-seeking, cigarette smoking women (n = 82; ages 18-45 years) provided daily salivary hormone samples every morning for 14 consecutive days. Time-dependent random effects functions were used to approximate daily salivary progesterone (ng/mL) levels over the course of a standardized menstrual cycle. Serum measures of progesterone from a previous study of female cigarette smokers were examined for consistency with established profiles and compared with the salivary profile using the same methodology. RESULTS: The salivary model fit exhibits relative stability during the follicular phase and a clear unimodal peak during the luteal phase. Parameter estimates from the non-linear function show correspondence to serum data. Although the profiles estimated from salivary and serum data agree in functional form, we observed larger between-subject heterogeneity both in the follicular level and the peak luteal level in salivary measures. CONCLUSIONS: The pattern of salivary and serum progesterone measured across the menstrual cycle is similar in form, which is noteworthy given that the saliva and serum samples were drawn from independent sample of female smokers. Inter- and intra-individual variation in salivary measures may be greater than in serum measures. IMPLICATIONS: Measuring progesterone level variation across the menstrual cycle via saliva samples has several benefits relative to serum sampling methods in that they are easily obtained, noninvasive, and low-cost. Inter- and intra-individual variation in measurements may be greater than those in serum measurements. However, the functional form of the salivary progesterone profile is isomorphic to serum progesterone.

Comparison of Medical Cannabis Use Reported on a Confidential Survey vs Documented in the Electronic Health Record Among Primary Care Patients.

Importance: Patients who use cannabis for medical reasons may benefit from discussions with clinicians about health risks of cannabis and evidence-based treatment alternatives. However, little is known about the prevalence of medical cannabis use in primary care and how often it is documented in patient electronic health records (EHR). Objective: To estimate the primary care prevalence of medical cannabis use according to confidential patient survey and to compare the prevalence of medical cannabis use documented in the EHR with patient report. Design, Setting, and Participants: This study is a cross-sectional survey performed in a large health system that conducts routine cannabis screening in Washington state where medical and nonmedical cannabis use are legal. Among 108 950 patients who completed routine cannabis screening (between March 28, 2019, and September 12, 2019), 5000 were randomly selected for a confidential survey about cannabis use, using stratified random sampling for frequency of past-year use and patient race and ethnicity. Data were analyzed from November 2020 to December 2021. Exposures: Survey measures of patient-reported past-year cannabis use, medical cannabis use (ie, explicit medical use), and any health reason(s) for use (ie, implicit medical use). Main Outcomes and Measures: Survey data were linked to EHR data in the year before screening. EHR measures included documentation of explicit and/or implicit medical cannabis use. Analyses estimated the primary care prevalence of cannabis use and compared EHR-documented with patient-reported medical cannabis use, accounting for stratified sampling and nonresponse. Results: Overall, 1688 patients responded to the survey (34% response rate; mean [SD] age, 50.7 [17.5] years; 861 female [56%], 1184 White [74%], 1514 non-Hispanic [97%], and 1059 commercially insured [65%]). The primary care prevalence of any past-year patient-reported cannabis use on the survey was 38.8% (95% CI, 31.9%-46.1%), whereas the prevalence of explicit and implicit medical use were 26.5% (95% CI, 21.6%-31.3%) and 35.1% (95% CI, 29.3%-40.8%), respectively. The prevalence of EHR-documented medical cannabis use was 4.8% (95% CI, 3.45%-6.2%). Compared with patient-reported explicit medical use, the sensitivity and specificity of EHR-documented medical cannabis use were 10.0% (95% CI, 4.4%-15.6%) and 97.1% (95% CI, 94.4%-99.8%), respectively. Conclusions and Relevance: These findings suggest that medical cannabis use is common among primary care patients in a state with legal use, and most use is not documented in the EHR. Patient report of health reasons for cannabis use identifies more medical use compared with explicit questions about medical use.

Gender parity and homophily in the Drug and Alcohol Dependence editorial process.

BACKGROUND: Despite efforts towards gender parity and some improvement over time, gender bias in peer review remains a pervasive issue. We examined gender representation and homophily in the peer review process for Drug and Alcohol Dependence (DAD). METHODS: We extracted data for papers submitted to DAD between 2004 and 2019, inclusive. Inferred gender was assigned to handling editors and reviewers using the NamSor gender inference Application Programming Interface (API). RESULTS: Men and women handling editors were approximately equally likely to invite women reviewers over time, with only a few exceptions. Over time, 47.1% of editors were women, and 42.6% of review invitations were sent to women. Men were largely consistent over time in their likelihood of accepting a review invitation, while the likelihood of women accepting a review invitation was more variable over time. Gender differences in rates of accepting a review invitation were minimal; however, as women approached half of all invited reviewers in recent years, there has been a greater trend for women, relative to men, to decline review invitations. Evidence of homophily on the part of reviewers accepting invitations was minimal, but in certain years, a tendency to accept review invitations at higher rates from editors of the same gender was observed. DISCUSSION: Given the benefits of diversity in scientific advancement, these results underline the importance of continuing efforts to increase gender diversity among editors and in reviewer pools, and the need for reviewers to be mindful of their own reviewing practices.