Using the internet to research hidden populations of illicit drug users: a review

The use of online methods to recruit and follow a hard-to-reach population in the Peer Alternatives for Addiction Study 2021 Cohort

BACKGROUND

Although studies are increasingly adopting online protocols, few such studies in the addiction field have comprehensively described their data review procedures and successes in detecting low-quality/fraudulent data. The current study describes data collection protocols and outcomes of a large, longitudinal study (the PAL Study 2021) that implemented online design elements to study individuals seeking peer support for an alcohol use disorder.

METHODS

In 2021, the PAL Study collaborated with mutual-help group (MHG) partners and recovery-related organizations to recruit individuals attending a 12-step group, Women for Sobriety (WFS), LifeRing Secular Recovery, and/or SMART Recovery for an alcohol problem in-person and/or online in the prior 30 days. Participation was solicited both online and in-person. Individuals accessed baseline surveys via an open web link; follow-ups occurred at 6 and 12 months. Analyses included calculating the proportion of surveys eliminated in data quality review; comparing MHG subsamples to internal survey (benchmark) data for Alcoholics Anonymous (AA), WFS, LifeRing, and SMART; and examining response rates and attrition.

RESULTS

Although 93% of respondents who opened the baseline survey completed it, 87% of baseline surveys were eliminated in data quality review (final N = 531). Nonetheless, cleaned MHG subsamples were generally similar to benchmark samples on gender, age, race/ethnicity, and education. Follow-up rates for the cleaned sample were 88% (6 months) and 85% (12 months). Analyses revealed some differences in attrition by gender, primary MHG, and lifetime drug problems, but there was no evidence of greater attrition among those in earlier/less stable recovery.

CONCLUSIONS

Study methods appear to have produced a valid, largely representative sample of the hard-to-reach target population that was successfully followed across 12 months. However, given the high survey elimination rate and need for extensive data review, we recommend that researchers avoid open-link designs and include comprehensive data review when incorporating online design elements.

What can we learn from low-THC cannabis growers in Europe? A comparative transnational study of small-scale cannabis growers from Italy and Switzerland

BACKGROUND

A market for cannabis with low levels (LT) of Tetrahydrocannabinol (THC) has recently emerged in Europe alongside an ongoing trend of domestic cannabis cultivation with high-THC content (HT). This phenomenon may have diversified the growers' profile. This study investigates LT growers' (LTG) characteristics (demographics, consumption patterns, growing experience) and growing motivations with a subsequent comparison with HT growers (HTG).

METHODS

Data from 11,479 small-scale growers was collected through an online survey (ICCQ 2) conducted by the Global Cannabis Cultivation Research Consortium (GCCRC) from 2020 to 2021. This exploratory study analyses a subsample of the 1618 respondents residing in Italy and Switzerland. A quantitative approach was used, performing comparative bivariate and multivariate analyses between participants who have only grown HT plants in the previous year (HTG; n = 1303) and those who have either grown LT only or alongside HT (LTG; n = 315).

RESULTS

LTGs differ significantly from HTGs. LTGs are older than HTGs. Growing medical cannabis for oneself and others is more likely among them than HTGs. Compared to HTGs, LTGs have lesser odds to grow for recreational use and to have problematic cannabis use. Growing for legality, pleasure and accessing milder cannabis is more likely for LTGs than HTGs. HTGs have greater experience than HTGs, growing for longer, more extensively and better meeting their consumption needs. There is a wider production of by-products, such as oils and extracts, among LTGs than HTGs. Having been in contact with the police for growing is also more likely among them than HTGs.

CONCLUSION

LTGs reported significantly more growing experience when compared to HTGs and should be considered a distinct group of growers. The results suggest that the emergence of the legal LT market has more likely drawn previous HTGs into growing LT, mainly medically, rather than attracting new individuals toward cannabis cultivation.

Public interest in drug-related problems reflected in information search trends: an infodemiological study

BACKGROUND

The analysis of how people search and "navigate" the internet to obtain health-related information and how they communicate and share this information can provide valuable knowledge about the disease patterns behaviour and health habits of populations.

OBJECTIVE

To determine the population's interest in drug-related problems through information search trends.

METHOD

A descriptive ecological correlational study, based on obtaining Google Trends data.

VARIABLES STUDIED

relative search volume (RSV), evolution over time, milestones and seasonality.

RESULTS

The most searched topic was drug overdose, with mean RSV of 56.25 ± 0.65. The highest increase occurred in the contraindication topic (R2 = 0.87, p < 0.001). The main milestone was observed in the drug overdose topic in July 2018 (RSV = 100). A very close relationship was found between adverse drug reaction and contraindication (R = 0.89, p < 0.001). Slight seasonality was noted in the adverse drug reaction (augmented Dickey-Fuller test [ADF] = -1.96), contraindication (ADF = -2.66) and drug interaction (ADF = -1.67) topics, but did not show an epidemiological trend.

CONCLUSIONS

The greatest public interest was found in the drug overdose and contraindication topics, which showed a stronger upward trend, although the seasonality study did not show any very notable data or demonstrate epidemiological information search behaviour. The main milestone observed was due to media factors related to the consumption of narcotics. There was a clear difference in English-speaking countries in the use of the drug overdose topic. A correlation between the adverse drug reaction and contraindication topics was confirmed.

Global patterns in small-scale cannabis growers' distribution practices: Exploring the grower-distributor nexus

BACKGROUND

While the supply of cannabis is commonly assumed to be dominated by criminal gangs, a sizable share of the domestic cannabis supply is provided by small-scale growers. This article examines the nature and scope of small-scale growers' distribution practices, with a particular focus on cross-country differences and variations between different types of grower-distributors, i.e., "non-suppliers", "exclusive social suppliers", "sharers and sellers" and "exclusive sellers".

METHODS

Based on a large convenience web survey sample of predominantly small-scale cannabis growers from 18 countries, this article draws on data from two subsamples. The first subsample includes past-year growers in all 18 countries who answered questions regarding their market participation (n = 8,812). The second subsample includes past-year growers in 13 countries, who answered additional questions about their supply practices (n = 2,296).

RESULTS

The majority of the cannabis growers engaged in distribution of surplus products, making them in effect "grower-distributors". Importantly, many did so as a secondary consequence of growing, and social supply (e.g., sharing and gifting) is much more common than selling. While growers who both shared and sold ("sharers and sellers"), and especially those who only sold ("exclusive sellers"), grew a higher number of plants and were most likely to grow due to a wish to sell for profits, the majority of these are best described as small-scale sellers. That is, the profit motive for growing was often secondary to non-financial motives and most sold to a limited number of persons in their close social network.

CONCLUSION

We discuss the implications of the findings on the structural process of import-substitution in low-end cannabis markets, including a growing normalization of cannabis supply.

Cannabis use and dependence among festival attendees: results from the French OCTOPUS survey

BACKGROUND

Chronic use of cannabis is associated with an increased risk of psychosocial, mental and physical health impairments. Sociohealth institutions reach a very limited proportion of cannabis users in need of treatment. Using data collected from festival attendees, this study aimed to estimate the prevalence of dependent cannabis users and to characterize cannabis dependence.

METHODS

We used data from the cross-sectional OCTOPUS survey carried out at 13 music events in the French department of Loire-Atlantique between July 2017 and July 2018. 383 participants aged 18 or older underwent a face-to-face interview about their basic sociodemographics, tobacco use, alcohol use and past-year substance use. Using the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) criteria, we estimated the prevalence of dependent cannabis users and characterized their dependence.

RESULTS

More than two-thirds of participants reported that they had used cannabis in the past 12 months. Among 194 regular cannabis users (at least monthly), 63.4% were dependent. At least 40% of regular users reported health and/or social consequences of cannabis use. Compared to nondependent cannabis users, dependent cannabis users were more likely to be stimulant users and hallucinogen users.

CONCLUSIONS

Dependent cannabis use is common among festival attendees, especially among stimulant or hallucinogen users. Festival settings may be important arenas for i) implementing efficient harm reduction measures to prevent dependence and ii) providing information on care structures and promoting the use of care to dependent users. In addition, healthcare professionals should be aware of trends in polysubstance use among dependent cannabis users.

Parent-initiated posthumous-assisted reproduction revisited in light of the interest in genetic origins

A rich literature in bioethics argues against the use of anonymous gamete donation in the name of the 'interest in knowing one's genetic origins'. This interest stems from medical as well as psychosocial and identity reasons. The term 'genealogical bewilderment' has been coined to express the predicament of those deprived of access to information about their origins. Another rich body of literature in bioethics discusses arguments for and against posthumous-assisted reproduction (PAR), with a recent focus on PAR that is initiated by the parents of a deceased man (rather than his partner). This paper revisits arguments against PAR, in light of arguments regarding the interest in knowing one's genetic origins. Limiting the discussion to the specific context of parent-initiated PAR (PIPAR), we argue that the use of cryopreserved sperm from a deceased identifiable man in the context of PIPAR may be ethically preferable when compared with the use of anonymous donor sperm, since it allows genealogical certainty, that is, giving the prospective child access to information about the identity, life story and ancestry of the genetic progenitor as well as genealogical embeddedness, that is, close relationship with extended family members.

Patient experiences of methadone treatment changes during the first wave of COVID-19: a national community-driven survey

BACKGROUND

During COVID-19, the Substance Abuse and Mental Health Services Administration (SAMHSA) allowed Methadone Maintenance Treatment (MMT) programs to relax in-person MMT requirements to reduce COVID-19 exposure. This study examines patient-reported changes to in-person methadone clinic attendance requirements during COVID-19.

METHODS

From June 7, 2020, to July 15, 2020, a convenience sample of methadone patients (N = 392) were recruited in collaboration with National Survivors Union (NSU) in 43 states and Washington D.C. through social media (Facebook, Reddit, Twitter, and Web site pop-ups). The community-driven research (CDR) online survey collected information on how patient take-home methadone dosing and in-person drug testing, counseling, and clinic visit frequency changed prior to COVID-19 (before March 2020) to during COVID-19 (June and July 2020).

RESULTS

During the study time period, the percentage of respondents receiving at least 14 days of take-home doses increased from 22 to 53%, while the percentage receiving one or no take-home doses decreased from 22.4% before COVID-19 to 10.2% during COVID-19. In-person counseling attendance decreased from 82.9% to 19.4%. While only 3.3% of respondents accessed counseling through telehealth before COVID-19, this percentage increased to 61.7% during COVID-19. Many respondents (41.3%) reported visiting their clinics in person once a week or more during COVID-19.

CONCLUSIONS

During the first wave of COVID-19, methadone patients report decreased in-person clinic attendance and increased take-home doses and use of telehealth for counseling services. However, respondents reported considerable variations, and many were still required to make frequent in-person clinic visits, which put patients at risk of COVID-19 exposure. Relaxations of MMT in-person requirements during COVID-19 should be consistently implemented and made permanent, and patient experiences of these changes should be explored further.

Analysis of illicit stimulant use triangulating wastewater, general population survey and web survey data

Background: We analysed illicit stimulant use in Finland by comparing three separate datasets collected at the same time. Methods: The data used were wastewater analysis (2014 and 2018), population-based drug surveys (2014 and 2018) and European Web Survey on Drugs (2018, Finnish data). Proportions, prevalence levels and trends of stimulant use as well as their consumption were measured. Factors associated with stimulant use were assessed for past-year stimulant or amphetamine use as an outcome measure in regression analyses. Results: Both population-based drug survey and wastewater data showed that stimulant use has increased in Finland between 2014 and 2018. Disadvantaged socio-demographic background and other substance use were associated with past-year stimulant use, with no geographical variation in Finland. The socio-demographics of those reporting amphetamine use differed between population-based drug survey and web survey. In the web survey, infrequent and occasional users of amphetamine were quite alike, whereas frequent users were more likely to be unemployed or use injection as the route of administration. Conclusion: Analysis of three different data revealed findings that would have been missed and conclusions that could not have been made by using only one dataset. Putting findings from different methods into dialogue raises new questions and opens new interpretations. This analysis emphasises the importance of the prevention of frequent use and associated harm, as well as the impact of versatile drug treatment and harm reduction services on it.

Linguistic predictors from Facebook postings of substance use disorder treatment retention versus discontinuation

Background: Early indicators of who will remain in - or leave - treatment for substance use disorder (SUD) can drive targeted interventions to support long-term recovery.Objectives: To conduct a comprehensive study of linguistic markers of SUD treatment outcomes, the current study integrated features produced by machine learning models known to have social-psychology relevance.Methods: We extracted and analyzed linguistic features from participants' Facebook posts (N = 206, 39.32% female; 55,415 postings) over the two years before they entered a SUD treatment program. Exploratory features produced by both Linguistic Inquiry and Word Count (LIWC) and Latent Dirichlet Allocation (LDA) topic modeling and the features from theoretical domains of religiosity, affect, and temporal orientation via established AI-based linguistic models were utilized.Results: Patients who stayed in the SUD treatment for over 90 days used more words associated with religion, positive emotions, family, affiliations, and the present, and used more first-person singular pronouns (Cohen's d values: [-0.39, -0.57]). Patients who discontinued their treatment before 90 days discussed more diverse topics, focused on the past, and used more articles (Cohen's d values: [0.44, 0.57]). All ps < .05 with Benjamini-Hochberg False Discovery Rate correction.Conclusions: We confirmed the literature on protective and risk social-psychological factors linking to SUD treatment in language analysis, showing that Facebook language before treatment entry could be used to identify the markers of SUD treatment outcomes. This reflects the importance of taking these linguistic features and markers into consideration when designing and recommending SUD treatment plans.

Personal and Social Consequences of Psychotropic Substance Use: A Population-Based Internet Survey

Background and objectives: Drug abuse has become a major worldwide health concern among all age groups. The present study analyses substance misuse and its social and personal consequences using a population-based internet survey in Spain. Materials and Methods: Screening for drug abuse (of alcohol, marijuana/hashish and psychostimulants) and its related risks and problems was performed using the Car, Relax, Alone, Forget, Friends, Trouble (CRAFFT) score. Socio-demographic factors, depressive, anxiety and stress symptoms as well as health habits were also evaluated. We used Linear regression methods to compare each variable's individual contribution so as to determine which one best explains the results. Results: In this population-based study, 1224 people completed and returned the online survey. Of all participants, 57% reported consuming at least one substance based on the CRAFFT scale. While increasing age reduces the probability of personal and social consequences of consumption, people who smoke receive up to three times more (OR = 3.370) recommendations from family and friends to reduce their consumption. As for the type of substance, the consumption of marijuana increases the risk of forgetting (OR = 2.33) and the consumption of other psychostimulant substances almost triples the risk of consuming alone (OR = 2.965). Combining substances can increase the rate of driving a vehicle after consumption by 3.4 times. Conclusions: Although age, smoking and the type of substances used increase the risk of suffering from social and personal consequences of the use or abuse of substances, future studies are needed to determine the influence of new variables as a potential tool for treating and minimizing the adverse consequences of drug abuse.

Recruiting young women of color into a pilot RCT targeting sexual health: Lessons learned and implications for applied health technology research

Objective To evaluate different recruitment methods to enroll participants into a mHealth pilot RCT: banner ads on Facebook and OkCupid, and targeted electronic outreach (e.g., emails to community-based organizations and to professors at local colleges). Participants: Between October 2015 and May 2016, 114 college-aged Black and Latina women 18 to 24 participated in the study. Methods: Recruitment methods compared online banner ads on social media to targeted electronic outreach. Individual banner ad images were compared by impressions, clicks, and cost by enrolled participants. Results: More targeted electronic recruited participants enrolled than via banner advertisements. Banner ads with images of women yielded a higher click-through-rate and was more cost effective versus the logo alone. Conclusions: Recruiting young women of color may be facilitated through known and trusted adults, such as college professors, rather than through anonymous banner advertisements on social media.

Screening of Depressive Symptoms in a Russian General Population Sample: A Web-based Cross-sectional Study

Background and Objective:

Web-based screening of depressive symptoms in general non-clinical population can provide better insights into actual prevalence of depressive symptoms and associated risk factors. To study the current prevalence of depressive symptoms in Russian non-clinical population we conducted screening using an online survey based on Depression subscale of Hospital Anxiety and Depression Scale (HADS-D).

Methods:

The online survey covered 2610 Russian-speaking respondents and included HADS-D, questions about sex, age and presence of cardiovascular diseases (CVD) diagnoses or symptoms in respondents.

Results:

The proportion of respondents with depressive symptoms, estimated by online HADS-D, was 14.4% (11.5% - at subclinical level, 2.9% - at clinical level). The overall HADS-D score was higher in women (p=0.003), in young individuals under 30 y.o vs. participants over 42 y.o. (p=0.004) and in individuals with self-reported CVD symptoms (p=0.00002). Linear regression analysis showed that self-reported CVD symptoms increase HADS-D score (p<0.001), but male sex (p=0.002) and older age (p<0.001) decrease it. Logistic regression showed that CVD symptoms increase the risk of depressive symptoms by HADS-D (p=0.033, OR=1.29), but older age (p=0.015, OR=0.87) and male sex (as a trend, p=0.052, OR=0.80) decrease this risk.

Conclusion:

Online survey based on HADS-D showed new patterns of depressive symptoms prevalence in Russian non-clinical population. Depressive symptoms prevalence did not differ between men and women and was higher among young people. The reported association between depressive symptoms and CVD was confirmed.

Safety concerns on the abuse potential of esketamine: Multidimensional analysis of a new anti-depressive drug on the market

Prominent features of esketamine (e.g., similar mechanism of action as ketamine and target population) require to be vigilant regarding its benefits/risks balance and its risks of abuse in real-life settings. The aim of this study was to review all available pharmacological and clinical data to assess the abuse potential of esketamine shortly after its marketing. This multidimensional study is a quantitative and qualitative analysis of complementary data sources, ranging from preauthorization data (i.e., fundamental pharmacology and clinical trials) to real-life settings data (i.e., pharmacovigilance databases and web forums). According to esketamine pharmacology, its psychoactive effects play a role both in its therapeutic effect and its abuse potential. Only one out of the three short-term efficacy trials found a significant difference between esketamine and placebo in treatment-resistant depression. Beside adverse events that may be sought for abuse purpose (e.g., dissociation, sedation, euphoric mood, hallucination, feeling drunk, and derealization), clinical signs related to substance use disorder (e.g., tolerance, withdrawal syndrome, and drug dependence) and misuse (e.g., off-label use) were also identified in pharmacovigilance databases. Analysis of pharmacovigilance narratives and web forums showed that esketamine psychoactive effects are appreciated by some patients, while they are badly experienced by others. Strict compliance with the market authorization, close monitoring of patients by psychiatrists, and surveillance of any signs of misuse, abuse, or dependence must be part of any treatment course.

Detecting risk level in individuals misusing fentanyl utilizing posts from an online community on Reddit

INTRODUCTION

Opioid misuse is a public health crisis in the US, and misuse of synthetic opioids such as fentanyl have driven the most recent waves of opioid-related deaths. Because those who misuse fentanyl are often a hidden and high-risk group, innovative methods for identifying individuals at risk for fentanyl misuse are needed. Machine learning has been used in the past to investigate discussions surrounding substance use on Reddit, and this study leverages similar techniques to identify risky content from discussions of fentanyl on this platform.

METHODS

A codebook was developed by clinical domain experts with 12 categories indicative of fentanyl misuse risk, and this was used to manually label 391 Reddit posts and comments. Using this data, we built machine learning classification models to identify fentanyl risk.

RESULTS

Our machine learning risk model was able to detect posts or comments labeled as risky by our clinical experts with 76% accuracy and 76% sensitivity. Furthermore, we provide a vocabulary of community-specific, colloquial words for fentanyl and its analogues.

DISCUSSION

This study uses an interdisciplinary approach leveraging machine learning techniques and clinical domain expertise to automatically detect risky discourse, which may elicit and benefit from timely intervention. Moreover, our vocabulary of online terms for fentanyl and its analogues expands our understanding of online "street" nomenclature for opiates. Through an improved understanding of substance misuse risk factors, these findings allow for identification of risk concepts among those misusing fentanyl to inform outreach and intervention strategies tailored to this at-risk group.

Comparing the feasibility of four web-based recruitment strategies to evaluate the treatment preferences of rural and urban adults who misuse non-prescribed opioids

This cross-sectional study examined the feasibility of using four different web-based strategies to recruit rural and urban adults who use opioids non-medically for a survey on opioid use disorder (OUD) treatment preferences, and compared the treatment preferences of rural versus urban participants. Preferences for medication for opioid use disorder (MOUD) formulation and OUD treatment models were assessed through an online survey. Recruitment advertisements were shown on Facebook, Google AdWords, Reddit, and Amazon Mechanical Turk (MTurk). Participants were categorized by zip code into urban versus rural residence using the Centers for Medicaid and Medicaid Health Resources and Services Administration definitions. OUD treatment preferences were compared using chi-square and t-tests. Among the 851 participants recruited, 815 provided zip codes and were classified as residing in rural (n = 200, 24.5%) or urban (n = 615, 75.4%) regions. A crowdsourcing service (MTurk) recruited the most rural participants, while posts on a social news website (Reddit) recruited the most urban participants (χ²₃ = 17.0, p < 0.01). While preferred MOUD formulation and OUD treatment model did not differ by rurality, rural participants were more likely to report a willingness to receive OUD treatment integrated with general medical care (χ²₁ = 18.9, p < 0.0001). This study demonstrated that web-based strategies are feasible for recruiting rural adults who misuse opioids. Results suggest OUD treatment preferences largely did not differ by rural residence, and highlight the importance of enhancing the availability and increasing education about MOUD formulations in rural regions.

Predictors of using social media to purchase drugs in New Zealand: Findings from a large-scale online survey

BACKGROUND

There are increasing reports of social media being used to buy and sell illegal drugs internationally. Studies of social media drug markets to date have largely involved general explorations of social media drug transactions in select countries. Social media drug markets may operate differently for different drug types and in different country contexts.

AIMS

To identify predictors of the use of social media to purchase cannabis, methamphetamine, LSD and ecstasy/MDMA in New Zealand using a large-scale online survey sample.

METHODS

The annual New Zealand Drug Trends Survey (NZDTS), an online convenience survey promoted via targeted Facebook™ campaign, was completed by 23,500 respondents aged 16+. Logistic regression models were fitted to identify demographic, drug use and drug market predictors of reporting the use of social media to purchase cannabis, methamphetamine, LSD and ecstasy/MDMA.

RESULTS

Fifty-one percent of the sample had purchased cannabis, methamphetamine, ecstasy/MDMA or LSD in the past six months, of which 22% had done so via social media (n = 2,650). Cannabis was the drug type most purchased from social media among drug purchasers (24%), followed by ecstasy/MDMA (13%). Sixty percent of social media purchasers had used Facebook™, 48% Snapchat™, and 20% Instagram™. The leading advantages of social media purchasing were "high convenience" (74%), and "fast transaction speed" (43%). Younger age was a significant predictor of social media purchasing for all drug types (particularly among 16-17 year olds). Purchasing from someone identified as a "drug dealer" was a predictor of social media purchasing among respondents for all drug types.

CONCLUSION

Social media drug markets may have significant implications for drug purchasing by youth through providing greater access to supply and breaking down age-related barriers between social supply and commercial drug markets. Our findings highlight the importance of incorporating social media platforms into youth drug prevention and harm minimisation strategies.

Associations between ayahuasca consumption in naturalistic settings and current alcohol and drug use: Results of a large international cross-sectional survey

INTRODUCTION

Emerging evidence suggests that psychedelic compounds, including the Amazonian botanical decoction ayahuasca, may provide clinical benefit in the treatment of alcohol or other drug use disorders. This study investigates associations between ayahuasca consumption in naturalistic settings and current alcohol and other drug use.

METHODS

Online cross-sectional study of people who have consumed ayahuasca in religious, traditional and non-traditional settings in over 40 countries. A total of 8629 participants (53% male, average age 40 years) were included in the analysis. Logistic regressions were used to explore associations between ayahuasca drinking variables and the current use of alcohol and other drugs, as well as the influence of confounding factors, such as church or community membership.

RESULTS

The number of times ayahuasca had been consumed was strongly associated with increased odds of never or rarely drinking alcohol, never or rarely engaging in 'risky drinking' and having not consumed a range of drugs in the past month, with these effects greater for those with a prior substance use disorder compared to those without. The strength of ayahuasca drinkers subjective spiritual experience, number of personal self-insights obtained and drinking ayahuasca with an ayahuasca church were also associated with lower substance use in some models.

DISCUSSION AND CONCLUSIONS

Consumption of ayahuasca in naturalistic settings is associated with lower self-reported current consumption of alcohol and other drugs for those with and without prior substance use disorders, with such effects present after adjusting for religious or social group effects.

Self-reported Subjective Effects of Analytically Confirmed New Psychoactive Substances Consumed by e-Psychonauts: Protocol for a Longitudinal Study Using a New Internet-Based Methodology

Background

During the last few years, the continuous emergence of new psychoactive substances (NPS) has become an important public health challenge. The use of NPS has been rising in two different ways: buying and consuming NPS knowingly and the presence of NPS in traditional drugs as adulterants. The rise of NPS use is increasing the number of different substances in the market to an extent impossible to study with current scientific methodologies. This has caused a remarkable absence of necessary information about newer drug effects on people who use drugs, mental health professionals, and policy makers. Current scientific methodologies have failed to provide enough data in the timeframe when critical decisions must be made, being not only too slow but also too square. Last but not least, they dramatically lack the high resolution of phenomenological details.

Objective

This study aims to characterize a population of e-psychonauts and the subjective effects of the NPS they used during the study period using a new, internet-based, fast, and inexpensive methodology. This will allow bridging an evidence gap between online surveys, which do not provide substance confirmation, and clinical trials, which are too slow and expensive to keep up with the new substances appearing every week.

Methods

To cover this purpose, we designed a highly personalized, observational longitudinal study methodology. Participants will be recruited from online communities of people who use NPS, and they will be followed online by means of a continuous objective and qualitative evaluation lasting for at least 1 year. In addition, participants will send samples of the substances they intend to use during that period, so they can be analyzed and matched with the effects they report on the questionnaires.

Results

The research protocol was approved by the Institutional Review Board of the Hospital del Mar Research Institute on December 11, 2018. Data collection started in August 2019 and was still ongoing when the protocol was submitted (September 2020). The first data collection period of the study ended in October 2020. Data analysis began in November 2020, and it is still ongoing. The authors expect to submit the first results for publication by the end of 2021. A preliminary analysis was conducted when the manuscript was submitted and was reviewed after it was accepted in February 2021.

Conclusions

It is possible to conduct an institutional review board–approved study using this new methodology and collect the expected data. However, the meaning and usefulness of these data are still unknown.

International Registered Report Identifier (IRRID)

DERR1-10.2196/24433

A Feasibility Trial of an Online-Only, Family-Centered Preventive Intervention for Hispanics: e-Familias Unidas

We piloted the preventive intervention e-Familias Unidas, delivered exclusively through the Internet to maximize reach and sustainability. This program is an adaptation of an evidence-based, family-centered intervention that aims to prevent Hispanic adolescent drug use and risky sexual behavior through improving family functioning. The purpose of this feasibility trial was to: (1) explore the use of Facebook and a trusted community champion in the online recruitment of Hispanic parents of adolescents, (2) test an online-only assessment and randomization protocol, (3) pilot intervention delivery via e-familiasunidas.com, and (4) assess pre-post changes in family functioning. We tracked participant recruitment and enrollment via Facebook analytics and REDCap. Intervention completion was tracked via our website. We conducted an ANCOVA to test for between group (e-Familias Unidas vs. control) differences post-intervention. Recruitment lasted for a total of 10 weeks and was divided into three phases, with each phase systematically assessing which strategies maximized recruitment and enrollment. Overall, 93 Hispanic parents enrolled in the study. Of those randomized to the intervention group (n = 46), 70% were engaged and watched an average of 5.4 out of the 12 online videos. We found that participants recruited through a community champion, versus Facebook advertisements, had higher rates of enrollment and intervention completion. There was a significant improvement in parent-adolescent communication for parents who received e-Familias Unidas compared to those in the control group (n = 47). This pilot trial demonstrated it is feasible to recruit, assess, and deliver e-Familias Unidas to Hispanic parents through an online-only platform. Our findings highlight the promise of an online platform to optimize the reach of preventive interventions for underserved populations, to more effectively target participants, and to disseminate sustainable evidence-based interventions. We discuss lessons learned and recommendations for future research.

Shifts in Drug Use Behavior Among Electronic Dance Music Partygoers in New York During COVID-19 Social Distancing

Background: Little is known about how COVID-19-related social distancing has affected illegal drug use. We surveyed electronic dance music (EDM) partygoers-a population known for high levels of drug use-to determine whether their drug use patterns had changed during state-mandated social distancing in New York. Methods: Individuals were recruited online and screened for eligibility throughout April and May 2020. We surveyed 128 eligible adults and queried, retrospectively, whether their drug use behavior had changed during COVID-19-related social distancing. Results: Most participants reporting past-three-month use reported decreased frequency of use during COVID-19-related social distancing. Specifically, 78.6% reduced frequency of use of cocaine, 71.1% reduced frequency of use of ecstasy/MDMA/Molly, and 68.0% reduced frequency of use of LSD. Although some participants reported increased frequency of use of cocaine (7.1%), ecstasy (7.9%), or LSD (12.0%), 35.0% reported increased frequency of cannabis use. Most (66.7%) of those reporting cocaine use reduced the amount used. The majority of those reporting use of cannabis, ecstasy, cocaine, and/or LSD reported that drug cost (80.0-84.0%) and drug quality (84.2-92.0%) did not change during social distancing. Having a college degree was associated with higher odds for decreasing frequency of cannabis use. Older participants (ages ≥23) were at lower odds for decreasing frequency of cocaine use, as were those earning >$500 per week, and participants who attended EDM events biweekly or more often were at higher odds for decreasing frequency of LSD use. Conclusions: Participants in this sample tended to reduce party drug use during COVID-19-related social distancing.

Hidden and uninterested populations: Methodological insights and unresolved issues from the study of Cannabis Social Clubs

Cannabis Social Clubs are typically non-profit associations established by adult users of cannabis, which produce and distribute cannabis among their members. Such associations can be found in several European countries and beyond, but with exception of Uruguay, they are illegal or otherwise operate at the margins of domestic drug control legislation, at risk for law enforcement detection. We have conducted several individual and collaborative studies on Cannabis Social Clubs and their key actors (e.g. Cannabis Social Clubs leaders, users affiliated as members, cannabis growers, other stakeholders), primarily drawing on qualitative methods (e.g. ethnographic fieldwork, interviews, qualitative media analyses) but also employing a quantitative approach (e.g. online surveys). In this article, we reflect on the research experiences of the authors in studying Cannabis Social Clubs, providing insights for future research in this area and within criminology and socio-legal studies. In particular, we aim to examine our approaches with regard to the recruitment of participants and research design, identifying good practices, but also discussing what the less successful strategies were. We draw on research conducted since 2014 in different countries, with different legal frameworks, which provides an opportunity for a comparative and more in-depth critical consideration of what might be helpful ways of reaching and researching hard-to-reach populations.

On the efficacy of online drug surveys during the time of COVID-19

Most human subjects research involving contact with participants has been halted in the US due to the COVID-19 crisis. We have been testing an online method to recruit and survey participants as a temporary replacement for our street-intercept survey method. Online surveys already generate less generalizable findings than other surveys, but offering compensation for online survey completion further reduces generalizability because this increases mischievous submissions. In this letter we discuss methods to help detect invalid responses, such as utilizing a screener to test for eligibility and using flags to detect mischievous responses and repeat submissions. We recommend that researchers approach online recruitment and surveying with caution.

"How do online and offline sampling compare in a multinational study of drug use and nightlife behaviour?"

BACKGROUND

Online sampling is widely used to recruit hard to reach samples such as drug users at nightlife events. We conducted the first study comparing differences in demographics, drug use and nightlife behaviour between an online sample of young adults engaging with the European nightlife scene, and an offline sample recruited at nightclubs and festivals in Europe.

METHODS

Online participants who attended at least six nightlife events in the past 12 months were recruited using social media advertising (May-November 2017). Offline participants were recruited at nightclubs and festivals using a random intercept method (May-November 2017). Samples were compared with respect to age, gender, past year use of alcohol, cannabis, cocaine, ecstasy/MDMA and amphetamines, and past year attendance at nightclubs, licensed festivals, illegal festivals, pubs and house-parties.

RESULTS

6153 online and 3529 offline participants were recruited. When adjusting for differences in age and gender, online participants were less likely to have used each drug and to have attended illegal festivals, pubs and house-parties in the past 12 months. The online sample also used each drug and attended each venue, with the exception of nightclubs, less frequently on average than offline participants. Adjusted odds ratios (range 0.37 to 1.39) and regression coefficients (range -0.84 to 0.07) indicate that the majority of observed differences between the samples were of a small effect size.

CONCLUSIONS

Estimates of drug use and nightlife engagement are more conservative when using online sampling compared to venue based sampling. Observed differences were generally small in effect, indicating good overall representativeness when using online sampling in the European nightlife scene.

South Korean mothers' childhood abuse experience and their abuse of their children with intellectual and developmental disabilities: Moderating effect of parenting self-efficacy

BACKGROUND

A history of childhood abuse has been found to adversely affect the transition to motherhood. Compared to other children, children with intellectual and developmental disabilities are at higher risk of being maltreated at home. However, maternal parenting self-efficacy has been found to improve mothers' positive interactions with their children.

OBJECTIVE

Given that, this study examined the moderating effect of maternal parenting self-efficacy on the relationship between mothers' childhood abuse experience and their abuse of their children with IDDs.

PARTICIPANTS AND SETTING

Participants include 134 South Korean mothers with children between 2 and 8 years of age with intellectual and developmental disabilities.

METHOD

Mothers' childhood abuse experience was assessed using the Childhood Trauma Questionnaire, which measures the extent of mothers' exposure to parental abuse in their childhood. Parenting self-efficacy was measured using the Echelle Globle du Sentiment de Competence Parentale (EGSCP). The Abusive Parenting scale was used to assess mothers' abusive parenting; it measured the degree to which mothers had ever either physically or emotionally abused their children.

RESULTS

The moderating effects of parenting self-efficacy on the relationships between childhood emotional abuse and abusive parenting (B = -.06, t(126) = -2.33, p = .022, 95 % CI[-.1142, -.0092]) and between childhood physical abuse and abusive parenting (B = -.07, t(126) = -2.64, p = .009, 95 % CI[-.1283, -.0184]) were significant.

CONCLUSIONS

These findings emphasize the importance of helping mothers with a history of abuse alleviate parental stress arising from raising children with IDDs by enhancing their parenting self-efficacy.

An evidence synthesis of strategies, enablers and barriers for keeping secrets online regarding the procurement and supply of illicit drugs

This systematic review attempts to understand how people keep secrets online, and in particular how people use the internet when engaging in covert behaviours and activities regarding the procurement and supply of illicit drugs. With the Internet and social media being part of everyday life for most people in western and non-western countries, there are ever-growing opportunities for individuals to engage in covert behaviours and activities online that may be considered illegal or unethical. A search strategy using Medical Subject Headings terms and relevant key words was developed. A comprehensive literature search of published and unpublished studies in electronic databases was conducted. Additional studies were identified from reference lists of previous studies and (systematic) reviews that had similar objectives as this search, and were included if they fulfilled our inclusion criteria. Two researchers independently screened abstracts and full-texts for study eligibility and evaluated the quality of included studies. Disagreements were resolved by a consensus procedure. The systematic review includes 33 qualitative studies and one cross-sectional study, published between 2006 and 2018. Five covert behaviours were identified: the use of communication channels; anonymity; visibility reduction; limited posts in public; following forum rules and recommendations. The same technologies that provide individuals with easy access to information, such as social networking sites and forums, digital devices, digital tools and services, also increase the prevalence of inaccurate information, loss of privacy, identity theft and disinhibited communication. This review takes a rigorous interdisciplinary approach to synthesising knowledge on the strategies adopted by people in keeping secrets online. Whilst the focus is on the procurement and supply of illicit drugs, this knowledge is transferrable to a range of contexts where people keep secrets online. It has particular significance for those who design online/social media applications, and for law enforcement and security agencies.

Utilizing social media to explore overdose and HIV/HCV risk behaviors among current opioid misusers

INTRODUCTION

Opioid misuse has evolved into an American health crisis over the past decade, becoming a public health epidemic. Measures need to be taken to prevent overdoses by opioid misuse as well as prevent the transition into injection drug use, a high risk factor for contracting HIV/HCV. This study utilized social media to survey individuals currently misusing opioids to identify groups of individuals with different risk and use patterns.

METHODS

We recruited participants for our online survey from Reddit. Five risk behaviors were used to characterize overdose and HIV/HCV risk groups. Gender, age, and socioeconomic status were also included in the analyses, as well as items outlining social media use surrounding opioids.

RESULTS

Two groups of participants were characterized by high likelihoods of different combinations of risky behaviors: (1) Overdose Risk Group and (2) Sexual Risk Group. Those in the Overdose Risk Group were more likely to be younger in age and female, and this group was more likely to desire or be ready for treatment relative to the lowest risk group. Those in the Sexual Risk Group were more likely to be of a minority race/ethnicity, to desire or be ready for treatment, and to post more often on Reddit about opioid use.

DISCUSSION

The results of this study illustrate patterns of opioid use and risk behaviors to inform tailored outreach and treatment efforts for groups of opioid misusers and suggests the potential for utilizing social media as a tool to engage these individuals into treatment and recovery activities.

Consistency of self-reported drug use among electronic dance music party attendees

INTRODUCTION AND AIMS

Longitudinal studies have found that recanting of drug use is common. We investigate the extent to which individuals in a high-risk population-electronic dance music (EDM) party attendees-provide inconsistent reports of drug use.

DESIGN AND METHODS

Nine hundred and thirty-three EDM party attendees were intercept-surveyed before entering randomly selected parties in 2017. A quarter (n = 236) completed the optional follow-up survey (63.1% of those providing an email address to be contacted for follow up). We compared self-reported past-year drug use on baseline and follow-up surveys (mean = 3.6 days post-baseline) among those who completed both. Predictors for providing discordant responses were also examined.

RESULTS

About 42.4% provided a discordant response between surveys, but discord regarding reported use of individual drugs (measured in changes in absolute percentage) ranged from 0.0% to 5.1%. At follow up, prevalence of reported use of LSD decreased (by 3.8%, P = 0.013) and prevalence of reported use of shrooms also decreased (by 5.1%, P = 0.005); however, test-retest reliability was strong or almost perfect for all 17 drugs (κ range: 0.88-1.00). Those reporting the use of a higher number of drugs at baseline were at increased risk of providing discordant responses. Those surveyed outside of festivals were less likely to provide more discordant responses than those surveyed outside of nightclubs.

DISCUSSION AND CONCLUSIONS

Although reporting of drug use was very reliable in this high-risk population, inconsistent self-reported use of some drugs was still common. Research is needed to determine how to acquire more accurate responses in this population at the point of recruitment without relying on follow-up surveys.

Web-based self-help with and without chat counseling to reduce cocaine use in cocaine misusers: Results of a three-arm randomized controlled trial

BACKGROUND

In recent years, cocaine use has increased in many countries, but only a minority of users seek treatment. Cognitive behavioral therapy (CBT) is seen as first-choice face-to-face treatment. However, a web-based intervention might serve as an alternative.

AIMS

To test the efficacy of a web-based self-help intervention, with and without chat counseling, grounded in CBT, at reducing cocaine use in cocaine misusers not in treatment for a substance use disorder.

METHODS

Subjects were randomly assigned to (1) a self-help intervention with chat support, (2) a self-help intervention without chat support, or (3) a waiting list control group. The fully-automated self-help program consisted of eight modules based on motivational interviewing, self-control practices and CBT. The primary outcome was the quantity of cocaine use per week. Secondary outcomes included frequency of cocaine and other substance use and mental health symptoms. Linear regression analysis was performed to investigate changes in primary and secondary outcomes.

RESULTS

In total, 416 users registered online for the trial, of whom 311 completed the baseline assessment. Participants were predominantly male (73%) and averaged 33 years old (SD = 7.6). Despite considerable efforts on our part, only 47 of 311 (15.1%) subjects completed the 6-month follow-up assessment. Frequency of cocaine use and severity of cocaine dependence decreased only in the intervention groups. No significant difference in the primary outcome was observed between the study arms, but several differences in secondary outcomes were observed by complete case analyses.

CONCLUSIONS

Many cocaine misusers from the general population and not otherwise in treatment could be reached and decreased their cocaine use utilizing a CBT-based online intervention. However, due to the high percentage of dropouts and serious difficulties reaching subjects for follow-up assessments, no conclusions can be drawn regarding study arm differences. Implications for future studies are discussed.

Web-Based Eligibility Quizzes to Verify Opioid Use and County Residence Among Rural Young Adults: Eligibility Screening Results from a Feasibility Study

Background

Web-based methods can be used to collect data from hidden populations, including people who use drugs (PWUD). These methods might be especially advantageous among PWUD in rural areas, where transportation barriers are prevalent, stigma may heighten concerns about confidentiality, and internet access is improving. However, Web-based research with PWUD can be challenging, especially in verifying eligibility. Administering quizzes to verify residential and substance use eligibility could prove valuable in online research among PWUD, yet the utility of this approach is currently unknown.

Objective

This study describes the implementation of online eligibility quizzes about the local community to verify residence in the target study area along with drug dose, appearance, and price to verify opioid misuse.

Methods

To be eligible, individuals had to live in 1 of 5 eastern Kentucky counties, report using opioids to get high in the past 30 days, and be 18 to 35 years old. Participants recruited from August 2017 to July 2018 were asked questions about their opioid use followed by a quiz about drug dose, appearance, and price to verify substance use eligibility. Residential eligibility was verified with 5-question quizzes assessing knowledge of the county where they reported living. Questions tested knowledge about towns, festivals, and landmarks; local school mascots and colors; and presence of certain retail stores, restaurants, and facilities (eg, jails). A subsample that reported using opioids in the past 24 hours was randomly selected to complete urine drug testing (UDT). Nonparametric tests were performed to explore differences across demographic subgroups.

Results

Of the 410 entries assessed for eligibility, 39.3% (161/410) were ineligible as they reported no substance use, being outside the age range, or living outside the study area. Of the remaining 249 who met the eligibility criteria based on age, residency, and opioid misuse, 94.0% (234/249) passed the eligibility quizzes. Among those who passed the heroin quiz, 99.4% (167/168) recognized the image of powdered heroin, 94.6% (159/168) answered the cap size (ie, the purchase unit) question correctly, and 97.0% (163/168) answered the street price question correctly. Among those who passed the drug quiz for prescription opioids, 95% (36/38) answered the dose question correctly, and 82% (31/38) selected the correct image. In a random sample of participants who completed UDT within 3 days of their online screening, 74% (25/34) tested positive for an opioid.

Conclusions

This study demonstrated the utility of using online eligibility screening quizzes to verify opioid misuse and residence. Participants accurately recognized heroin and prescription opioid doses, prices, and images and correctly answered questions about features of their county. Online quizzes to screen and enroll PWUD hold promise for future research as an alternative to more time- and resource-intensive approaches that could offset the advantages of Web-based methods.

Community-consumerism: negotiating risk in online drug communities

This study explores the social organisation of risk within online drug-related communities. Drawing on in-depth interviews with participants from two Norwegian Internet drug forums, the paper illustrates how participation in such forums influenced notions of risk, and how it supported notions of participants as being informed, responsible and empowered. First, the forums facilitated an easy exchange of user-generated drug information, which helped members present themselves as informed and competent. Second, members used the communal resources on the forums to negotiate their drug-using identities, in which they resisted stigma and argued for a responsible drug-using identity. Third, the social inclusion and sense of community within the forums formed the basis for collective support, which helped empower those involved. Conceptualised as community-consumerism, these findings highlight the social mechanisms involved in the information self-sufficiency and decentralisation of authority on the Internet, in which members created an alternative frame of reference for drug use and associated health. The concept of community-consumerism offers a perspective on the social organisation of risk within online communities and ought to be of relevance for future studies on online health-related discourses, not only those related to drugs.

The challenges and benefits of analyzing feedback comments in surveys: Lessons from a cross-national online survey of small-scale cannabis growers

It is common practice in survey questionnaires to include a general open and non-directive feedback question at the end, but the analysis of this type of data is rarely discussed in the methodological literature. While these open-ended comments can be useful, most researchers fail to report on this issue. The aim of this article is to illustrate and reflect upon the benefits and challenges of analyzing responses to open-ended feedback questions. The article describes the experiences of coding and analyzing data generated through a feedback question at the end of an international online survey with small-scale cannabis cultivators carried out by the Global Cannabis Cultivation Research Consortium. After describing the design and dataset of the web survey, the analytical approach and coding frame are presented. The analytical strategies chosen in this study illustrate the diversity and complexity of feedback comments which pose methodological challenges to researchers wishing to use them for data analyses. In this article, three types of feedback comments (political/policy comments, general comments of positive and negative appreciation, and methodological comments) are used to illustrate the difficulties and advantages of analyzing this type of data. The advantages of analyzing feedback comments are well known, but they seem to be rarely exploited. General feedback questions at the end of surveys are typically non-directive. If researchers want to use these data for research and analyses, they need a clear strategy. They ought to give enough thought to why they are including this type of question, and develop an analytical strategy at the design stage of the study.

The value of unsolicited online data in drug policy research

We alert readers to the value of using unsolicited online data in drug policy research by highlighting web-based content relevant to drug policy generated by distinct types of actor: people who consume, supply or produce illicit drugs, online news websites and state or civil society organisations. These actors leave 'digital traces' across a range of internet platforms, and these traces become available to researchers to use as data - although they have not been solicited by researchers, and so have not been created specifically to fulfil the aims of research projects. This particular type of data entails certain strengths, limitations and ethical challenges, and we aim to assist researchers in understanding these by drawing on selected examples of published research using unsolicited online data that have generated valuable drug policy insights not possible using other traditional data sources. We argue for the continued and increased importance of using unsolicited online data so that drug policy scholarship keep pace with recent developments in the global landscape of drug policies and illicit drug practices.

The Return of Citizenship? An Empirical Assessment of Legal Integration in Times of Radical Sociolegal Transformation

Intra-EU migrants have traditionally faced few pressures or incentives to formalize their “permanent” residence or to naturalize in their EU host countries. Focusing on the United Kingdom and combining an analysis of secondary administrative data and primary online survey data ( N = 1,413), this article examines practices and attitudes toward such legal integration in the context of the 2016 EU Referendum among five major EU nationality groups. The analysis reveals that British citizenship is the main legal mechanism of integration among intra-EU migrants in the United Kingdom and that while there is continuity in this respect with pre-Brexit processes, Brexit also has a strong but differential effect as a driver of legal integration. The article identifies some of the main decision-influencing factors shaping legal integration, making a significant contribution to understanding the complexities of integrative processes in times of radical structural change.

The Effectiveness of Internet- and Field-Based Methods to Recruit Young Adults Who Use Prescription Opioids Nonmedically

BACKGROUND

Nonmedical prescription opioid (NMPO) use is a problem among young adults, yet young NMPO users are a diverse population that has been challenging to engage in overdose prevention and harm reduction programs.

OBJECTIVES

This study compared the effectiveness and characteristics of persons recruited through two different sampling strategies to inform research and intervention efforts with young adult NMPO users.

METHODS

We analyzed data from the Rhode Island Young Adult Prescription Drug Study (RAPiDS), which enrolled persons aged 18 to 29 who reported past 30-day NMPO use. We compared the characteristics of two samples recruited simultaneously between February 2015 and February 2016. One sample was recruited using field-based strategies (e.g., respondent-driven sampling, transit ads), and a second from internet sources (e.g., online classifieds).

RESULTS

Among 198 eligible participants, the median age was 25 (IQR: 22, 27), 130 (65.7%) were male, 123 (63.1%) were white, and 150 (78.1%) resided in urban areas. A total of 79 (39.9%) were recruited using field-based strategies and 119 (60.1%) were recruited from internet sources. Internet-recruited persons were younger (median = 24 [IQR: 21, 27] vs. 26 [IQR: 23, 28] years) and more likely to reside in rural areas (16.2% vs. 5.3%), although this finding was marginally significant. Field-recruited participants were more likely to have been homeless (36.7% vs. 17.7%), have been incarcerated (39.7% vs. 21.8%), and engage in daily NMPO use (34.6% vs. 14.5%).

CONCLUSIONS

Multipronged outreach methods are needed to engage the full spectrum of young adult NMPO users in prevention and harm reduction efforts.

Comparing Amazon Mechanical Turk with unpaid internet resources in online clinical trials

Internet interventions face significant challenges in recruitment and attrition rates are typically high and problematic. Finding innovative yet scientifically valid avenues for attaining and retaining participants is therefore of considerable importance. The main goal of this study was to compare recruitment process and participants characteristics between two similar randomized control trials of mood management interventions. One of the trials (Bunge et al., 2016) was conducted with participants recruited from Amazon's Mechanical Turk (AMT), and the other trial recruited via Unpaid Internet Resources (UIR).

METHODS

The AMT sample (Bunge et al., 2016) consisted of 765 adults, and the UIR sample (recruited specifically for this study) consisted of 329 adult US residents. Participants' levels of depression, anxiety, confidence, motivation, and perceived usefulness of the intervention were assessed. The AMT sample was financially compensated whereas the UIR was not.

RESULTS

AMT yielded higher recruitment rates per month (p < .05). At baseline, the AMT sample reported significantly lower depression and anxiety scores (p < .001 and p < .005, respectively) and significantly higher mood, motivation, and confidence (all p < .001) compared to the UIR sample. AMT participants spent significantly less time on the site (p < .05) and were more likely to complete follow-ups than the UIR sample (p < .05). Both samples reported a significant increase in their level of confidence and motivation from pre- to post-intervention. AMT participants showed a significant increase in perceived usefulness of the intervention (p < .0001), whereas the UIR sample did not (p = .1642).

CONCLUSIONS

By using AMT, researchers can recruit very rapidly and obtain higher retention rates; however, these participants may not be representative of the general online population interested in clinical interventions. Considering that AMT and UIR participants differed in most baseline variables, data from clinical studies resulting from AMT samples should be interpreted with caution.

Studying Cannabis Use Behaviors With Facebook and Web Surveys: Methods and Insights

The rapid and wide-reaching expansion of internet access and digital technologies offers epidemiologists numerous opportunities to study health behaviors. One particularly promising new data collection strategy is the use of Facebook’s advertising platform in conjunction with Web-based surveys. Our research team at the Center for Technology and Behavioral Health has used this quick and cost-efficient method to recruit large samples and address unique scientific questions related to cannabis use. In conducting this research, we have gleaned several insights for using this sampling method effectively and have begun to document the characteristics of the resulting data. We believe this information could be useful to other researchers attempting to study cannabis use or, potentially, other health behaviors. The first aim of this paper is to describe case examples of procedures for using Facebook as a survey sampling method for studying cannabis use. We then present several distinctive features of the data produced using this method. Finally, we discuss the utility of this sampling method for addressing specific types of epidemiological research questions. Overall, we believe that sampling with Facebook advertisements and Web surveys is best conceptualized as a targeted, nonprobability-based method for oversampling cannabis users across the United States.

Drug-related police encounters across the globe: How do they compare?

BACKGROUND

Drug law enforcement subsumes the majority of drug policy expenditure across the globe. Fuelled by knowledge that much of this investment is ineffective or counter-productive there have been increasing calls for cross-national comparisons to identify where policing approaches differ and what types of approaches may be more effective. Yet, to date cross-national comparison of drug law enforcement has proven a methodologically hazardous affair. Using a new drug policing module added to the 2017 Global Drug Survey, this study seeks to provide the first cross-national comparison of the incidence, nature and intensity of illicit drug-related police encounters amongst people who use drugs.

METHODS

The Global Drug Survey was administered in late 2016. Across 26 countries including Australia, Germany, Italy, Mexico, Switzerland, the UK and the USA a total of 45,942 people who had recently used drugs completed the drug policing module. Key variables assessed included the incidence and frequency of drug-related police encounters in the last 12 months that involved: a) being stopped and searched; b) encountering a drug detection dog; c) being given a caution or warning; d) being charged and arrested; and e) paying a bribe. Multi-level models were used to control for pre-existing national differences in drug use prevalence and non-drug specific policing (including the total number of police personnel in each country).

RESULTS

Drug-related police encounters were most commonly reported in Italy and Scotland. Conversely, police encounters were most likely to lead to arrest in Norway, Finland and Sweden. The type and locations of encounters further differed across countries, with for example stop and search most reported in Greece and Colombia, and encounters with drug detection dogs most reported in Scotland, Italy, UK and Australia. Multi-level models showed that the incidence of reported policing encounters continued to differ significantly across countries after controlling for pre-existing national differences in drug use prevalence and policing, and that drug policing encounters were 4 to 14 times more common in some nations than others.

CONCLUSION

The findings unearth significant cross-national differences in the incidence and nature of drug-related policing of people who use drugs. This suggests that there may be opportunities for countries to learn from each other about how and why they differ, and the potential benefits of switching to lower intensity modes of drug policing.

Demographic Characteristics, Components of Sexuality and Gender, and Minority Stress and Their Associations to Excessive Alcohol, Cannabis, and Illicit (Noncannabis) Drug Use Among a Large Sample of Transgender People in the United States

The current study examined demographics, sexual orientation, gender characteristics, and gender minority stress and their association to excessive alcohol, cannabis, and illicit (noncannabis) drug use among 1210 transgender adults living in the United States. The authors conducted a secondary analysis of data that included 680 transgender women (M _age = 32.63, SD _age = 12.29) and 530 transgender men (M _age = 26.14, SD _age = 7.42). A modified version of the Risk Behavioral Assessment quantified participants' alcohol, cannabis, and illicit drug use in the past 3 months. Overall, 21.5% of participants reported excessive alcohol use; no significant differences were found on the rates of excessive alcohol use between transgender women and men. Cannabis use among our sample was 24.4%; trangender men reported significantly higher rates of cannabis use compared to transgender women. Illicit drug (noncannabis) use among our sample was 11.6%; transgender men also reported significantly higher rates of illicit drug use compared to transgender women. Multivariate analyses suggested that gender dysphoria was significantly associated with: excessive alcohol use for transgender women, cannabis use among both transgender women and men, and illicit (noncannabis) drug use among transgender women. A nonheterosexual orientation was associated with increased odds of cannabis use among transgender women and men; a nonheterosexual orientation was associated with greater odds of illicit substance use among transgender men but not among transgender women. Gender minority stressors were independently associated with excessive alcohol use among transgender men and cannabis use among transgender women. The authors suggest that minority stress may only partially account for substance use among transgender people. Consequently, the authors suggest that in addition to minority stress, other biopsychosocial mechanisms should continue to be examined to identify pathways that may lead to the development of effective substance use prevention efforts and treatment programs.

Representations of Codeine Misuse on Instagram: Content Analysis

BACKGROUND

Prescription opioid misuse has doubled over the past 10 years and is now a public health epidemic. Analysis of social media data may provide additional insights into opioid misuse to supplement the traditional approaches of data collection (eg, self-report on surveys).

OBJECTIVE

The aim of this study was to characterize representations of codeine misuse through analysis of public posts on Instagram to understand text phrases related to misuse.

METHODS

We identified hashtags and searchable text phrases associated with codeine misuse by analyzing 1156 sequential Instagram posts over the course of 2 weeks from May 2016 to July 2016. Content analysis of posts associated with these hashtags identified the most common themes arising in images, as well as culture around misuse, including how misuse is happening and being perpetuated through social media.

RESULTS

A majority of images (50/100; 50.0%) depicted codeine in its commonly misused form, combined with soda (lean). Codeine misuse was commonly represented with the ingestion of alcohol, cannabis, and benzodiazepines. Some images highlighted the previously noted affinity between codeine misuse and hip-hop culture or mainstream popular culture images.

CONCLUSIONS

The prevalence of codeine misuse images, glamorizing of ingestion with soda and alcohol, and their integration with mainstream, popular culture imagery holds the potential to normalize and increase codeine misuse and overdose. To reduce harm and prevent misuse, immediate public health efforts are needed to better understand the relationship between the potential normalization, ritualization, and commercialization of codeine misuse.

Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data

Background

Substance use–related communication for drug use promotion and its prevention is widely prevalent on social media. Social media big data involve naturally occurring communication phenomena that are observable through social media platforms, which can be used in computational or scalable solutions to generate data-driven inferences. Despite the promising potential to utilize social media big data to monitor and treat substance use problems, the characteristics, mechanisms, and outcomes of substance use–related communications on social media are largely unknown. Understanding these aspects can help researchers effectively leverage social media big data and platforms for observation and health communication outreach for people with substance use problems.

Objective

The objective of this critical review was to determine how social media big data can be used to understand communication and behavioral patterns of problematic use of prescription drugs. We elaborate on theoretical applications, ethical challenges and methodological considerations when using social media big data for research on drug abuse and addiction. Based on a critical review process, we propose a typology with key initiatives to address the knowledge gap in the use of social media for research on prescription drug abuse and addiction.

Methods

First, we provided a narrative summary of the literature on drug use–related communication on social media. We also examined ethical considerations in the research processes of (1) social media big data mining, (2) subgroup or follow-up investigation, and (3) dissemination of social media data-driven findings. To develop a critical review-based typology, we searched the PubMed database and the entire e-collection theme of “infodemiology and infoveillance” in the Journal of Medical Internet Research / JMIR Publications. Studies that met our inclusion criteria (eg, use of social media data concerning non-medical use of prescription drugs, data informatics-driven findings) were reviewed for knowledge synthesis. User characteristics, communication characteristics, mechanisms and predictors of such communications, and the psychological and behavioral outcomes of social media use for problematic drug use–related communications are the dimensions of our typology. In addition to ethical practices and considerations, we also reviewed the methodological and computational approaches used in each study to develop our typology.

Results

We developed a typology to better understand non-medical, problematic use of prescription drugs through the lens of social media big data. Highly relevant studies that met our inclusion criteria were reviewed for knowledge synthesis. The characteristics of users who shared problematic substance use–related communications on social media were reported by general group terms, such as adolescents, Twitter users, and Instagram users. All reviewed studies examined the communication characteristics, such as linguistic properties, and social networks of problematic drug use–related communications on social media. The mechanisms and predictors of such social media communications were not directly examined or empirically identified in the reviewed studies. The psychological or behavioral consequence (eg, increased behavioral intention for mimicking risky health behaviors) of engaging with and being exposed to social media communications regarding problematic drug use was another area of research that has been understudied.

Conclusions

We offer theoretical applications, ethical considerations, and empirical evidence within the scope of social media communication and prescription drug abuse and addiction. Our critical review suggests that social media big data can be a tremendous resource to understand, monitor and intervene on drug abuse and addiction problems.

Medical Decision-Making Processes and Online Behaviors Among Cannabis Dispensary Staff

Background:

Most cannabis patients engage with dispensary staff, like budtenders, for medical advice on cannabis. Yet, little is known about these interactions and how the characteristics of budtenders affect these interactions. This study investigated demographics, workplace characteristics, medical decision-making, and online behaviors among a sample of budtenders.

Methods:

Between June and September 2016, a cross-sectional Internet survey was administered to budtenders in the San Francisco Bay Area and Greater Los Angeles. A total of 158 budtenders fully responded to the survey. A series of comparisons were conducted to determine differences between trained and untrained budtenders.

Results:

Among the 158 budtenders, 56% had received formal training to become a budtender. Several demographic differences were found between trained and untrained budtenders. For workplace characteristics, trained budtenders were more likely to report budtender as their primary job (74% vs 53%), practice more than 5 years (34% vs 11%), and receive sales commission (57% vs 16%). Trained budtenders were significantly less likely to perceive medical decision-making as very important (47% vs 68%) and have a patient-centered philosophy (77% vs 89%). Although trained budtenders had significantly lower Internet usage, they were significantly more likely to exchange information with patients through e-mail (58% vs 39%), text message (46% vs 30%), mobile app (33% vs 11%), video call (26% vs 3%), and social media (51% vs 23%).

Conclusions:

Budtenders who are formally trained exhibit significantly different patterns of interaction with medical cannabis patients. Future studies will use multivariate methods to better determine which factors independently influence interactions and how budtenders operate after the introduction of regulations under the newly passed Proposition 64 that permits recreational cannabis use in California.

Patterns of Twitter Behavior Among Networks of Cannabis Dispensaries in California

Background

Twitter represents a social media platform through which medical cannabis dispensaries can rapidly promote and advertise a multitude of retail products. Yet, to date, no studies have systematically evaluated Twitter behavior among dispensaries and how these behaviors influence the formation of social networks.

Objectives

This study sought to characterize common cyberbehaviors and shared follower networks among dispensaries operating in two large cannabis markets in California.

Methods

From a targeted sample of 119 dispensaries in the San Francisco Bay Area and Greater Los Angeles, we collected metadata from the dispensary accounts using the Twitter API. For each city, we characterized the network structure of dispensaries based upon shared followers, then empirically derived communities with the Louvain modularity algorithm. Principal components factor analysis was employed to reduce 12 Twitter measures into a more parsimonious set of cyberbehavioral dimensions. Finally, quadratic discriminant analysis was implemented to verify the ability of the extracted dimensions to classify dispensaries into their derived communities.

Results

The modularity algorithm yielded three communities in each city with distinct network structures. The principal components factor analysis reduced the 12 cyberbehaviors into five dimensions that encompassed account age, posting frequency, referencing, hyperlinks, and user engagement among the dispensary accounts. In the quadratic discriminant analysis, the dimensions correctly classified 75% (46/61) of the communities in the San Francisco Bay Area and 71% (41/58) in Greater Los Angeles.

Conclusions

The most centralized and strongly connected dispensaries in both cities had newer accounts, higher daily activity, more frequent user engagement, and increased usage of embedded media, keywords, and hyperlinks. Measures derived from both network structure and cyberbehavioral dimensions can serve as key contextual indicators for the online surveillance of cannabis dispensaries and consumer markets over time.

Moving on From Representativeness: Testing the Utility of the Global Drug Survey

A decline in response rates in traditional household surveys, combined with increased internet coverage and decreased research budgets, has resulted in increased attractiveness of web survey research designs based on purposive and voluntary opt-in sampling strategies. In the study of hidden or stigmatised behaviours, such as cannabis use, web survey methods are increasingly common. However, opt-in web surveys are often heavily criticised due to their lack of sampling frame and unknown representativeness. In this article, we outline the current state of the debate about the relevance of pursuing representativeness, the state of probability sampling methods, and the utility of non-probability, web survey methods especially for accessing hidden or minority populations. Our article has two aims: (1) to present a comprehensive description of the methodology we use at Global Drug Survey (GDS), an annual cross-sectional web survey and (2) to compare the age and sex distributions of cannabis users who voluntarily completed (a) a household survey or (b) a large web-based purposive survey (GDS), across three countries: Australia, the United States, and Switzerland. We find that within each set of country comparisons, the demographic distributions among recent cannabis users are broadly similar, demonstrating that the age and sex distributions of those who volunteer to be surveyed are not vastly different between these non-probability and probability methods. We conclude that opt-in web surveys of hard-to-reach populations are an efficient way of gaining in-depth understanding of stigmatised behaviours and are appropriate, as long as they are not used to estimate drug use prevalence of the general population.

Utilizing Big Data and Twitter to Discover Emergent Online Communities of Cannabis Users

Large shifts in medical, recreational, and illicit cannabis consumption in the United States have implications for personalizing treatment and prevention programs to a wide variety of populations. As such, considerable research has investigated clinical presentations of cannabis users in clinical and population-based samples. Studies leveraging big data, social media, and social network analysis have emerged as a promising mechanism to generate timely insights that can inform treatment and prevention research. This study extends a novel method called stochastic block modeling to derive communities of cannabis consumers as part of a complex social network on Twitter. A set of examples illustrate how this method can ascertain candidate samples of medical, recreational, and illicit cannabis users. Implications for research planning, intervention design, and public health surveillance are discussed.