Academic literature on the topic 'Cannabis-related problems'
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Journal articles on the topic "Cannabis-related problems"
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Copeland, Jan. "Cannabis‐related problems and their management." Drugs and Alcohol Today 5, no. 2 (August 2005): 20–25. http://dx.doi.org/10.1108/17459265200500024.
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Strike, Carol J., Karen A. Urbanoski, and Brian R. Rush. "Who Seeks Treatment for Cannabis-related Problems?" Canadian Journal of Public Health 94, no. 5 (September 2003): 351–54. http://dx.doi.org/10.1007/bf03403559.
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Adam, Christian, and Andreas Raschzok. "Cannabis policy and the uptake of treatment for cannabis-related problems." Drug and Alcohol Review 36, no. 2 (March 23, 2016): 171–77. http://dx.doi.org/10.1111/dar.12401.
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Hernández-Serrano, Olga, Maria Eugènia Gras, Mariano Gacto, Alicia Brugarola, and Sílvia Font-Mayolas. "Family Climate and Intention to Use Cannabis as Predictors of Cannabis Use and Cannabis-Related Problems among Young University Students." International Journal of Environmental Research and Public Health 18, no. 17 (September 3, 2021): 9308. http://dx.doi.org/10.3390/ijerph18179308.
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Determining the predictive variables associated with cannabis use and cannabis-related problems can ease the identification of young cannabis consumers who can benefit from prevention interventions. This study aimed: (1) to describe, among university students, the cannabis use and cannabis-use problems, intention to use cannabis and family climate based on the gender and the people the student lives with; (2) to explore whether the family climate and intention to use cannabis are predictors of cannabis use and cannabis-related problems. The sample was composed of 339 Spanish undergraduates (51.9% females) in a 17-to-25 age range (19.67 ± 1.53). The variables were assessed through a battery based on the ESPAD survey, cannabis abuse screening test, cannabis use intention questionnaire and family climate scale. More men than women had used cannabis in the precedent year and showed greater intention to use cannabis, whereas more women than men showed greater self-efficacy in not using cannabis. The family climate did not predict cannabis use and cannabis-related problems. However, subjective norms and self-efficacy were key predictors of cannabis use and cannabis-use problems, respectively. Different factors seemed to predict the use cannabis in the past year versus cannabis-related problems, and these differences may help inform the development and delivery of preventative efforts.
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Ecker, Anthony H., Ashley A. Richter, and Julia D. Buckner. "Cannabis-related impairment: The impacts of social anxiety and misconceptions of friends' cannabis-related problems." Addictive Behaviors 39, no. 12 (December 2014): 1746–49. http://dx.doi.org/10.1016/j.addbeh.2014.07.004.
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Ilgen, Mark, and Kipling Bohnert. "Sleep-related problems in adults receiving medical cannabis." Drug and Alcohol Dependence 171 (February 2017): e93. http://dx.doi.org/10.1016/j.drugalcdep.2016.08.262.
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Copeland, Jan, L. Albertella, M. Norberg, and S. Rooke. "A smart phone application for cannabis-related problems." Drug and Alcohol Dependence 140 (July 2014): e38. http://dx.doi.org/10.1016/j.drugalcdep.2014.02.124.
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Callaghan, Russell C., Marcos Sanches, and Stephen J. Kish. "Quantity and frequency of cannabis use in relation to cannabis-use disorder and cannabis-related problems." Drug and Alcohol Dependence 217 (December 2020): 108271. http://dx.doi.org/10.1016/j.drugalcdep.2020.108271.
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Cerdá, Magdalena, Terrie E. Moffitt, Madeline H. Meier, HonaLee Harrington, Renate Houts, Sandhya Ramrakha, Sean Hogan, Richie Poulton, and Avshalom Caspi. "Persistent Cannabis Dependence and Alcohol Dependence Represent Risks for Midlife Economic and Social Problems." Clinical Psychological Science 4, no. 6 (July 8, 2016): 1028–46. http://dx.doi.org/10.1177/2167702616630958.
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With the increasing legalization of cannabis, understanding the consequences of cannabis use is particularly timely. We examined the association between cannabis use and dependence, prospectively assessed between ages 18 and 38, and economic and social problems at age 38. We studied participants in the Dunedin Longitudinal Study, a cohort ( N = 1,037) followed from birth to age 38. Study members with regular cannabis use and persistent dependence experienced downward socioeconomic mobility, more financial difficulties, workplace problems, and relationship conflict in early midlife. Cannabis dependence was not linked to traffic-related convictions. Associations were not explained by socioeconomic adversity, childhood psychopathology, achievement orientation, or family structure; cannabis-related criminal convictions; early onset of cannabis dependence; or comorbid substance dependence. Cannabis dependence was associated with more financial difficulties than was alcohol dependence; no difference was found in risks for other economic or social problems. Cannabis dependence is not associated with fewer harmful economic and social problems than alcohol dependence.
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Murphy, Kathryn. "“Greening out” Treating cannabis-related problems in the ED." Nursing Made Incredibly Easy! 15, no. 6 (2017): 47–50. http://dx.doi.org/10.1097/01.nme.0000521808.84893.e7.
Full textDissertations / Theses on the topic "Cannabis-related problems"
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Wittchen, Hans-Ulrich, Silke Behrendt, Michael Höfler, Axel Perkonigg, Jürgen Rehm, Roselind Lieb, and Katja Beesdo. "A typology of cannabis-related problems among individuals with repeated illegal drug use in the first three decades of life: Evidence for heterogeneity and different treatment needs." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-111264.
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Background: Cannabis use (CU) and disorders (CUD) are highly prevalent among adolescents and young adults. We aim to identify clinically meaningful latent classes of users of cannabis and other illegal substances with distinct problem profiles.
Methods: N= 3021 community subjects aged 14–24 at baseline were followed-up over a period ranging up to 10 years. Substance use (SU) and disorders (SUD) were assessed with the DSM-IV/M-CIDI. Latent class analysis (LCA) was conducted with a subset of N= 1089 subjects with repeated illegal SU. The variables entered in the LCA were CU-related problems, CUD, other SUD, and other mental disorders.
Results: Four latent classes were identified: “Unproblematic CU” (class 1: 59.2%), “Primary alcohol use disorders” (class 2: 14.4%), “Delinquent cannabis/alcohol DSM-IV-abuse” (class 3: 17.9%), “CUD with multiple problems” (class 4: 8.5%). Range and level of CU-related problems were highest in classes 3 and 4. Comorbidity with other mental disorders was highest in classes 2 and 4. The probability of alcohol disorders and unmet treatment needs was considerable in classes 2–4.
Conclusion: While the majority of subjects with repeated illegal SU did not experience notable problems over the 10-year period, a large minority (40.8%) experienced problematic outcomes, distinguished by clinically meaningful profiles. The data underline the need for specifically tailored interventions for adolescents with problematic CU and highlight the potentially important role of alcohol and other mental disorders.
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Wittchen, Hans-Ulrich, Silke Behrendt, Michael Höfler, Axel Perkonigg, Jürgen Rehm, Roselind Lieb, and Katja Beesdo. "A typology of cannabis-related problems among individuals with repeated illegal drug use in the first three decades of life: Evidence for heterogeneity and different treatment needs." Technische Universität Dresden, 2009. https://tud.qucosa.de/id/qucosa%3A26837.
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Background: Cannabis use (CU) and disorders (CUD) are highly prevalent among adolescents and young adults. We aim to identify clinically meaningful latent classes of users of cannabis and other illegal substances with distinct problem profiles.
Methods: N= 3021 community subjects aged 14–24 at baseline were followed-up over a period ranging up to 10 years. Substance use (SU) and disorders (SUD) were assessed with the DSM-IV/M-CIDI. Latent class analysis (LCA) was conducted with a subset of N= 1089 subjects with repeated illegal SU. The variables entered in the LCA were CU-related problems, CUD, other SUD, and other mental disorders.
Results: Four latent classes were identified: “Unproblematic CU” (class 1: 59.2%), “Primary alcohol use disorders” (class 2: 14.4%), “Delinquent cannabis/alcohol DSM-IV-abuse” (class 3: 17.9%), “CUD with multiple problems” (class 4: 8.5%). Range and level of CU-related problems were highest in classes 3 and 4. Comorbidity with other mental disorders was highest in classes 2 and 4. The probability of alcohol disorders and unmet treatment needs was considerable in classes 2–4.
Conclusion: While the majority of subjects with repeated illegal SU did not experience notable problems over the 10-year period, a large minority (40.8%) experienced problematic outcomes, distinguished by clinically meaningful profiles. The data underline the need for specifically tailored interventions for adolescents with problematic CU and highlight the potentially important role of alcohol and other mental disorders.
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Bashford, Janet Lorraine. "The Cannabis Use Problems Identification Test (CUPIT) : development and psychometrics : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Psychology at Massey University, Palmerston North, New Zealand." 2007. http://hdl.handle.net/10179/705.
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Lack of a brief empirically-verified screener for problematic and potentially problematic cannabis use has hampered implementation of a proactive opportunistic cannabis screening and early intervention (SEI) initiative in New Zealand. Addressing this instrumentation need was the primary aim of this thesis. This thesis also investigated the nature, prevalence, severity, and natural history of cannabis-related problems among a heterogeneous sample of 212 ‘at risk’ adolescent and adult users recruited from the community. In a 3-phase developmental design the CUPIT question candidates were first generated employing an Expert Panels methodology. The CUPIT structure, crosssectional, and longitudinal psychometric properties were then systematically tested, incorporating measures of cannabis-related pathology and DSM-IV/ICD-10 diagnoses of cannabis use disorders as criterion standard. High levels of cannabis consumption and related health and psychosocial problems reported portrayed a highly-disordered sample, most marked among adolescents. DSMIV/ICD-10 diagnoses were almost universal with no significant adolescent/adult differences in dependence symptoms count or severity. The two CUPIT subscales (Impaired Control, Problems) derived from principal components analyses exhibited good test-retest and internal consistency reliability and highly significant ability to discriminate diagnostic subgroups along the severity continuum (nonproblematic, risky, problematic use). At the 12-month follow-up, 194 adolescents and adults reported significantly increased cannabis consumption (adolescents), symptoms, and dependence severity. Baseline CUPIT subscale scores demonstrated highly significant longitudinal predictive utility for respondents’ diagnostic group membership, health and psychosocial problems, and significantly improved prediction of other measured outcomes in conjunction with age and gender. ROC analyses identified a CUPIT score of 12 to be the optimal cut-point for maximum sensitivity for both currently diagnosable cannabis use disorder and those ‘at risk’ in this sample. The empirical findings of this thesis research provide a compelling rationale for systematic implementation of opportunistic SEI among consumers of publicly-funded health and social services in New Zealand. Data confirmed that the vast majority of those needing help are unaware, or do not perceive, they need help. This thesis argues that, facilitated by the CUPIT, reliable proactive detection and appropriate intervention for early-stage cannabis use problems has potential for enormous cumulative impact on public health gains and the individual’s quality of life.
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Turmel, Jessica. "Profils latents d'usage de substances psychotropes chez les consommateurs de cannabis à l'adolescence : les problèmes les plus fréquents par profil et les profils les plus représentés par problème." Thèse, 2016. http://hdl.handle.net/1866/19391.
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Le cannabis est la substance illicite la plus consommée à l’adolescence et ce, mondialement. Nous savons qu’un usage problématique de cannabis est susceptible d’entraîner une multitude de conséquences sur les plans physiques, psychologiques, sociaux et économiques. Or, les consommateurs constituent un groupe au profil hétérogène et n’expérimenteront pas tous des problèmes significatifs reliés à cet usage. Il s’avère donc important d’identifier les usagers à risque élevé de conséquences et de spécifier la nature de ces problèmes afin d’intervenir de façon efficace auprès de cette clientèle. Pourtant, bien que la littérature scientifique soulève l’idée que certains types de consommateurs présentent davantage de risques, l’état des connaissances ne révèle que peu d’informations de nature empirique qui permettraient de distinguer des autres usagers les profils d’adolescents davantage à risque. À cet effet, les typologies disponibles à ce jour sont généralement théoriques ou limitées aux études cliniques, font référence à des problèmes particuliers ou se basent sur des indicateurs spécifiques de la consommation tels que la fréquence d’usage. De plus, aucune étude jusqu’à maintenant n’est en mesure de nous pister quant aux types de problèmes associés plus spécifiquement à certains profils de consommation ni de préciser quels profils sont davantage représentés pour des conséquences données. Cette étude est basée sur les classes latentes de consommation découvertes dans l’étude de Fallu, Brière et Janosz (2014) à partir de plusieurs caractéristiques de consommation et comparées sur plusieurs prédicteurs et problèmes associés à la consommation. Son échantillon est constitué de 1618 élèves consommateurs de cannabis en secondaire 4. Cette étude examine quels sont les problèmes attribués et non-attribués les plus fréquents pour chacune des classes. Elle examine également quelles sont les classes les plus représentées pour différents problèmes attribués et non-attribués. Enfin, elle compare les résultats obtenus pour les problèmes attribués et non-attribués. La stratégie analytique employée a consisté à conduire des analyses descriptives, des analyses de Chi carrés ainsi que des analyses de variance univariée, parfois suivies d’une analyse post-hoc. Les résultats ont démontré que la classe d’appartenance peut prédire la survenue des différents problèmes que rencontrent les jeunes consommateurs, que certaines classes sont plus représentées pour certains problèmes et que les adolescents aux profils les plus lourds sont à risque de sous-estimer certains problèmes liés à leur consommation. L’une des principales découvertes concerne les deux classes précoces. Il semble que la classe des consommateurs modérés précoces présente un profil de problèmes davantage intériorisé et la classe des polyconsommateurs lourds précoces, davantage extériorisé. Les implications de ces résultats sont finalement discutées.Cannabis is the most widely used illicit substance among adolescents worldwide. We know that cannabis misuse is likely to cause a variety of effects at physical, psychological, social and economic levels. However, consumers are a heterogeneous group and not all will experience significant problems associated with such use. It is therefore important to identify high-risk users and to specify the nature of these problems in order to intervene effectively with this clientele. Yet, although the scientific literature raises the idea that certain types of consumers are at higher risk, the current state of knowledge reveals little empirical information that would distinguish adolescents with higher risk profiles. To this end, the typologies available today are generally limited to theoretical or clinical studies, refer to specific problems, or are based on specific consumption indicators such as frequency of use. Furthermore, no study has yet been able to reveal the types of problems associated specifically with certain consumer profiles or to specify which profiles are more prone to various consequences. The present study is based on a latent class consumption model developed from several consumer characteristics found in the study by Fallu, Briere and Janosz (2014). They were compared with several predictors and problems associated with the consumption. The sample comes from within the context of evaluation of the New Approaches New Solutions (NANS) dropout prevention program, and consists of 1618 students who used cannabis in 10th grade. The subjects were annually evaluated from the 7th grade until the 11th. This study examines which attributed and non-attributed problems are most common for each class. It also examines which classes are most frequently assigned to different attributed and non-attributed problems. Finally, it compares the results obtained for the attributed and non-attributed problems. The analytical strategy used was to conduct descriptive analysis, chi-square analysis and univariate analysis of variance (ANOVA), sometimes followed by post-hoc tests when relevant. The results show that the class can predict the occurrence of various problems that young people face, that some classes are more represented for some problems, and that teenagers with heavier profiles are at risk of underestimating certain problems associated with their consumption. One of the main findings regarding the two early classes. It seems that early-moderate use students have a more internalized problems profile and those with early-heavy and polydrug use, a more externalized problems profile. Finally, the implications of these results are discussed.
Books on the topic "Cannabis-related problems"
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Degenhardt, Louisa, Wayne Hall, and Chiara Bucello. Illicit Drugs. Edited by Kenneth J. Sher. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199381678.013.016.
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Although illicit drug use has been documented across the world, the quality of these estimates is best in the developed countries of Europe, North America, and Australasia. Regular use, “problem drug use,” and drug dependence are less frequently measured but are important to quantify in order to identify disease burden. This paper reviews European, North American, and Australasian estimates of illicit drug use, problem drug use, and drug dependence and presents risk factors of illicit drug use. These risk factors include health risks related to cannabis and mortality associated with problem drug use and injecting drug use. Drug-related morbidity is reviewed, including nonfatal overdose, HIV/AIDS, and hepatitis B and C. Future research needs to focus on obtaining better estimates of mortality and morbidity to better understand the harms associated with illicit drug dependence.
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Timmins, Bryan. Non-prescription drugs. Edited by Patrick Davey and David Sprigings. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199568741.003.0342.
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The use of non-prescription drugs is widespread and has a major impact on the health of the individual user and society. In 2006, the British Crime Survey reported that 10% of adults had used one or more illicit drugs in the preceding year, with 3% reporting using a Class A drug. Over 11 million people in the UK are estimated to have used an illicit drug at least once in their lifetime (35%). Drugs abused vary in their intrinsic potential to cause addiction and, with it, more regular and harmful use. Drug users are influenced by trends and fashions, adopting new compounds such as crack cocaine and experimenting with routes of ingestion. Some drugs may become less popular over time, such as LSD, while others, such as cannabis, experience a revival as more potent strains (e.g. Skunk) are developed. A problem drug user is best defined as a person whose drug taking is no longer controlled or undertaken for recreational purposes and where drugs have become a more essential element of the individual’s life. The true economic and social cost of drug use is likely to be substantially greater than the published figures, which are derived from a variety of health and crime surveys which may overlook vulnerable groups such as the homeless. The majority of non-prescription drugs used in the UK are illegal and covered by the Misuse of Drugs Act 1971. The drugs most commonly abused gave rise in 2003–4 to an estimated financial cost in England and Wales of 15.4 billion pounds to the economy, with Class A drugs such as heroin and cocaine accounting for the majority of this. Some 90% of the cost is due to drug-related crime, with only 3% (£488 million) due to health service expenditure, which is mainly spent on inpatient care episodes. This still represents a major health pressure, which in 2006–7 amounted to 38 000 admissions, in England, for primary and secondary drug-related mental or behavioural problems, and over 10 000 admissions recorded for drug poisoning. Clinicians in all specialities can expect to encounter harmful drug use, especially those working in primary care, A & E, and psychiatric services. Presenting problems are protean, ranging from mood disorders, delirium, and psychosis to sepsis, malnutrition, and hepatitis. Blood-borne infections such as hepatitis C and HIV are widespread, as contaminated needles and syringes are shared by up to a quarter of problem drug users. Even smoking drugs such as crack cocaine can lead to increased transmission of hepatitis C through oral ulceration and contact with hot contaminated smoking pipes. Amongst the UK population, over half of IV drug users have hepatitis C, a quarter have antibodies to hepatitis B, and, by 2006, 4662 had been diagnosed with HIV. Non-prescription drug abuse is a leading cause of death and morbidity amongst the young adult population (those aged 16–35). In 2006 there were 1573 deaths where the underlying cause was poisoning, drug abuse, or dependence on substances controlled under the Misuse of Drugs Act. The vast majority (79%) were male. Young men, in particular, are at greater risk of violent death through associated criminal activity such as drug supplying and from deliberate and accidental overdose. The male-to-female ratio for deaths associated with mental and behavioural disorder is 6:1.
Book chapters on the topic "Cannabis-related problems"
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Lydall, Greg, and Kelly Clarke. "Substance Misuse Psychiatry." In Oxford Assess and Progress: Psychiatry. Oxford University Press, 2014. http://dx.doi.org/10.1093/oso/9780199665662.003.0021.
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Clinicians in all areas of medicine are likely to encounter people with substance misuse issues, so an understanding of the key issues is essential. Human beings have used intoxicating substances, such as alcohol, nicotine, cannabis, and heroin, for millennia. Motivations might include experimentation, pleasure, social enhancement, or for physical or psychological pain management. Some people who use these legal and illegal substances experience problems related to their use, including loss of control, adverse consequences, withdrawals or cravings, damaged end organs, risky behaviour, and premature death. Substance misuse impacts not only on individual physical and mental health but also upon families and wider society by increased healthcare, criminal justice, social services, and unemployment costs. Drug and alcohol problems affect between 10% and 25% of the population each year, and up to 35% of people have ever used illicit drugs. Alcohol, an intoxicating sedative, is the most commonly used drug, with 25% of the UK population drinking above ‘low-risk’ limits. In England in 2010 there were an estimated 300 000 opiate, crack-cocaine, and injecting drug users, and only half were in treatment. Substance misuse is commonly associated with physical and mental health co-morbidity. The prevalence of co-existing mental health and substance use problems (termed ‘dual diagnosis’) may affect between 30% and 70% of those presenting to healthcare and social care settings. In general, four interrelationships in dual diagnosis are recognized: • substance use leading to social problems and psychological symptoms not amounting to a diagnosis • substance use leading to social dysfunction and secondary psychiatric and physical illness • substance use exacerbating an existing mental or physical health problem and associated social functioning • primary psychiatric illness precipitating substance misuse which may also be associated with physical illness and affect social ability. Given the array of substance misuse problems, an individual treatment approach is essential and may involve psychological, pharmacological, and social intervention. An empathic, non-judgemental clinical approach is essential to engage people with substance misuse problems. Motivational interviewing is an evidence-based talking therapy to help people in denial about their problems make changes for themselves and avoids imposing change prematurely.
Conference papers on the topic "Cannabis-related problems"
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Feck, Sam, and Rebecca Houston. "Associations between Cannabis Use Characteristics, Impulsivity, and Mindfulness." In 2020 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2021. http://dx.doi.org/10.26828/cannabis.2021.01.000.37.
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Impulsivity has been implicated as a factor in cannabis use and cannabis-related problems. However, impulsivity is a multi-faceted construct. Recent work in substance use has used the UPPS-P Impulsive Behavior Questionnaire (UPPS-P), which is designed to assess five facets of impulsivity. Research examining these facets of impulsivity and cannabis use characteristics is somewhat inconsistent, but generally has suggested that Sensation Seeking and Lack of Premeditation may be related to cannabis use and Negative Urgency may be associated with cannabis-related problems. In addition, a substantial literature exists suggesting that mindfulness, the ability to focus one’s attention on the present moment in a non-judgmental, non-reactive, and tolerant manner, is decreased in substance users. However, the literature specific to mindfulness and cannabis use characteristics is relatively inconsistent. Thus, the aim of the current study was to replicate and extend prior research on the associations between impulsivity, mindfulness, and cannabis use. A community sample of adults (N = 289, 137 female) completed an online survey that included the Short UPPS-P (SUPPS-P) impulsiveness questionnaire, Mindfulness Attention Awareness Scale (MAAS), and questions about cannabis use and cannabis-related problems. A logistic regression in the full sample revealed that SUPPS-P Lack of Premeditation and MAAS total scores, as well as alcohol consumption, were significant positive predictors of cannabis user status (i.e., use in the past 30 days). The Lack of Premeditation finding is consistent with prior studies, but the association between increased mindfulness and cannabis user status was unexpected. It’s possible that the mind set and physical setting in which cannabis is used has influence on the subjective experience, and thus, users may be seeking effects relevant for an overall sense of well-being similar to that seen in research on psychedelic drug use. In the subsample of cannabis users that reported use in the past 30 days (n = 87), no significant associations were revealed between impulsivity facets or mindfulness and cannabis use frequency. No impulsivity or mindfulness variables emerged as significant predictors of cannabis-related problems in users; although, consistent with prior studies, the association with SUPPS-P Negative Urgency approached significance. Alcohol-related problems were associated with cannabis-related problems as well. These findings extend the previous literature and have implications in identifying risk for problematic/disordered use as well as improving upon interventions and treatment approaches for problematic cannabis use.
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Stewart, Sherry, Kayla Joyce, Phillip Tibbo, Nacera Hanzal, and Kimberley Good. "PMS Affective Symptoms Indirectly Linked to Cannabis Use Frequency and Problems via Cannabis Coping Motives." In 2020 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2021. http://dx.doi.org/10.26828/cannabis.2021.01.000.34.
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Background: Women with PMS have higher rates of substance use disorders but underlying mechanisms remain poorly understood. Research on the links of PMS to problematic substance use has largely omitted consideration of cannabis use. Design/Method: To fill these gaps, 87 cannabis using women (mean age = 28.9 years) completed a cross-sectional survey involving self-reports on their PMS symptoms on the Pre-Menstrual Scale – Short Form (PMS-SF), their usual motives for cannabis use on the Marijuana Motives Measure (MMM), their frequency of cannabis use in the last 30 days on the Cannabis Timeline Followback (C-TLFB), and their level of cannabis use problems on the Cannabis Use Disorder Identification Test (CUDIT). Analyses/Results: A series of multiple regressions were performed, along with Sobel tests of indirect effects, to examine the potential mediational role of cannabis motives in explaining the expected links of PMS symptoms with cannabis use frequency and problems. Separate models were run with cannabis use frequency and problems as outcomes, and with PMS affective and physiological symptoms as predictors. In each case, both coping motives and social motives (as a control to determine specificity) were tested as simultaneous mediators. PMS Affective (but not Physiological) symptoms were indirectly positively related to both cannabis use frequency and problems through Coping (but not Social) motives for use (Sobel tests = 2.01 and 2.26, respectively, p’s < .05). Discussion: Findings suggest that it is the affective symptoms of PMS (e.g., depressed mood), rather than the physiological symptoms (e.g., bloating, pain), that drive more frequent and problematic cannabis use in women. Moreover, the mechanism to explain this link appears to be coping (but not social) motives for cannabis use. Thus, those women with greater levels of PMS affective symptoms appear to use cannabis more frequently and problematically than other women by way of their greater use of cannabis to cope with negative mood.
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Altman, Brianna, Maha Mian, Luna Ueno, and Mitch Earleywine. "Average Intoxication as a Proxy for Cannabis Use." In 2020 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2021. http://dx.doi.org/10.26828/cannabis.2021.01.000.4.
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Assessing cannabis use is challenging due to the lack of standardized doses, differing potencies among products, and the potential for sharing with others. Although legalization of cannabis might give users a better sense of the quantity purchased and THC/CBD composition of products, issues in assessment and measurement can still preclude researchers from understanding use patterns. Given these challenges, the present work examines whether an individual’s average level of intoxication after cannabis consumption might serve as a better proxy for cannabis use than quantity of use. Data was aggregated from several studies related to cannabis use and health behaviors and collapsed across common variables (N = 2,659, Mean age = 34.08, 61.9% Male, 84.8% Caucasian). Our sample reported using cannabis either six or seven days per week, consuming approximately 1.12 ounces of cannabis per month (SD = .35 ounces), attaining an average intoxication of 3.49 on a scale from 0 (“Not at all”) to 6 (“Extremely high;” SD = 1.21), and experiencing a mild amount of cannabis-induced impairment as measured by the Cannabis-Associated Problems Questionnaire (CAPQ; M = 8.21, SD = 9.08). In this sample of frequent users, average intoxication levels were significantly related to cannabis problems (r = .153, p < .001) while quantity per month appeared to be unrelated (r = .005, p = .798). Using Meng’s (1992) procedure for comparing correlated correlation coefficients, these relations were found to significantly differ from each other (Z = - 5.53, p < .001). Our results provide preliminary evidence supporting cannabis-induced intoxication as a better proxy for cannabis use than quantity consumed. Individuals might more accurately remember their experiences of being high as opposed to recalling how much they consumed over a month’s span. Future work should continue to examine relations between intoxication and other indices of cannabis use to confirm and extend our findings.
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Pilatti, Angelina, Adrian Bravo, Yanina Michelini, Gabriela Rivarola Montejano, and Ricardo Pautassi. "Validation of the Spanish Version of the Marijuana Consequences Questionnaire (S-MACQ)." In 2020 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2021. http://dx.doi.org/10.26828/cannabis.2021.01.000.24.
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Background: The Marijuana Consequences Questionnaire [MACQ] assesses marijuana-related problems. This 8-factor (50-items) measure covers a broad array of multiple dimensions encompassing 50 negative consequences of gradient severity that are particularly relevant in the context of college. The present study aimed to validate the Spanish version of the 50-item Marijuana Consequences Questionnaire (S-MACQ) by analyzing the psychometric properties of internal, convergent, and concurrent validity and estimating internal consistency. We also examined the correlation between the brief (SB-MACQ) and the full S-MACQ and whether they similarly correlate with marijuana outcomes and marijuana-related variables. Method: College students from the two largest public universities of Cordoba city (Argentina) completed an online survey as part of a broader study focused on marijuana use and risky sexual behaviors. Only data from students that reported last-year marijuana use (n=470; 70.6% women; Mean age 22.67±3.52 years; 45.7% enrolled in psychology) were included in the study. We conducted independent samples t-tests to evaluate differences in the number of negative consequences (for the total scale and for each S-MACQ dimension) as a function of biological sex or frequency of use. Confirmatory factor analyses (CFA) was conducted to examine the factor structure of the S-MACQ. We conducted Pearson correlation analyses to examine the association between the number of marijuana-related consequences as measured by the S-MACQ and scores (a) in the CUDIT, a standardized measure of marijuana-related problems (i.e., convergent validity), (b) frequency and quantity of marijuana use (i.e., concurrent validity), (c) motives for marijuana use (i.e., concurrent validity). We examined the Pearson correlation between the SB-MACQ and the S-MACQ and then we estimated the difference between the Pearson correlation of the SB-MACQ and the S-MACQ with all the marijuana outcomes and marijuana-related variables. Results: Results from the CFA supported an 8-factor structure. The scores of the S-MACQ showed appropriate internal, concurrent and convergent validity, alongside with adequate internal consistency. The S-MACQ was largely correlated with the SB-MACQ and the correlations between these two versions and marijuana outcomes/marijuana-related variables did not significantly differ. Discussion: Findings supported the S-MACQ as a valid measure to assess marijuana-related problems in Spanish-speaking students. The instrument can be used to identify a broad diversity of marijuana problems in this population.
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Cavalli, Jessica, and Anita Cservenka. "Emotion Dysregulation Moderates the Association Between Stress and Problematic Marijuana Use." In 2020 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2021. http://dx.doi.org/10.26828/cannabis.2021.01.000.8.
Full textAbstract:
Objective. Marijuana is the most widely used illicit substance in the United States and in 2018 alone, an estimated 40.3 million adults reported using marijuana in the past year. This is concerning since growing research suggests that marijuana use is associated with adverse health and life outcomes, such as mental health issues, and cognitive impairment. Thus, determining factors that influence marijuana use-related problems is critical for understanding how to effectively implement prevention, intervention, and treatment efforts. Because research has proposed that emotion dysregulation is a transdiagnostic risk factor for substance use and addiction, the investigation of emotion regulation capabilities in marijuana users is warranted. Furthermore, since prior studies suggest that stress may lead to greater marijuana use-related problems, additional research into how emotion dysregulation may affect these relationships is needed. Thus, the current study examines how emotion dysregulation moderates the association between stress and problematic marijuana use in adults through an online survey. Methods. 852 adults reporting any lifetime marijuana use completed an online survey through Qualtrics. Participants completed a brief demographic questionnaire and were asked to report their past 30-day use of marijuana, alcohol, nicotine, and illicit substances. To assess past month problematic marijuana use, participants completed the Marijuana Problem Scale (MPS). To assess emotion dysregulation, participants completed the Difficulties in Emotion Regulation Scale (DERS). Participants completed the Perceived Stress Scale (PSS) and the Holmes-Rahe Life Stress Inventory (H-RLSI) to assess past month perceived stress and past year stressful life events, respectively. We investigated the association between scores on the DERS, PSS, and H-RLSI with scores on the MPS. Additionally, we conducted hierarchical multiple linear regression models to test whether emotion dysregulation, stress, and their interaction predicted problematic marijuana use. Results. Scores on the DERS (r = .53, p < .001), PSS (r = .13, p < .001), and H-RLSI (r = .32, p < .001) were significantly correlated with scores on the MPS. Additionally, emotion dysregulation (B = .32, p < .001), stressful life events (B = .21, p < .001), and their interaction (B = .07, p = .003) were significant predictors of problematic marijuana use. Finally, emotion dysregulation (B = .44, p < .001), perceived stress (B = -.18, p < .001), and their interaction (B = -.06, p = .04) were significant predictors of problematic marijuana use. Conclusion. These findings indicate that when examined separately, greater emotion dysregulation, experiencing more stressful life events in the past year, and experiencing more perceived stress in the past month were associated with greater problematic marijuana use in the past month. However, when examining the moderating role of emotion dysregulation, more stressful life events and less perceived stress predicted greater problematic marijuana use, and these associations were stronger at higher levels of emotion dysregulation. Overall, these results suggest that emotion dysregulation and greater stress may be risk factors for developing problematic marijuana use, and could be possible targets for prevention, intervention, and treatment efforts.
Reports on the topic "Cannabis-related problems"
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Dutra, Lauren M., Matthew C. Farrelly, Brian Bradfield, Jamie Ridenhour, and Jamie Guillory. Modeling the Probability of Fraud in Social Media in a National Cannabis Survey. RTI Press, September 2021. http://dx.doi.org/10.3768/rtipress.2021.mr.0046.2109.
Full textAbstract:
Cannabis legalization has spread rapidly in the United States. Although national surveys provide robust information on the prevalence of cannabis use, cannabis disorders, and related outcomes, information on knowledge, attitudes, and beliefs (KABs) about cannabis is lacking. To inform the relationship between cannabis legalization and cannabis-related KABs, RTI International launched the National Cannabis Climate Survey (NCCS) in 2016. The survey sampled US residents 18 years or older via mail (n = 2,102), mail-to-web (n = 1,046), and two social media data collections (n = 11,957). This report outlines two techniques that we used to problem-solve several challenges with the resulting data: (1) developing a model for detecting fraudulent cases in social media completes after standard fraud detection measures were insufficient and (2) designing a weighting scheme to pool multiple probability and nonprobability samples. We also describe our approach for validating the pooled dataset. The fraud prevention and detection processes, predictive model of fraud, and the methods used to weight the probability and nonprobability samples can be applied to current and future complex data collections and analysis of existing datasets.