Reducing Cannabis Use Research Articles

Developing a mobile-based brief intervention to reduce cannabis-impaired driving among youth: An intervention mapping approach

Behaviour change interventions delivered via smartphones have the potential to reduce youth cannabis use and driving under the influence of cannabis (DUIC). Countless smartphone applications (either downloadable or web-based) are available to help reduce substance use and impaired driving. However, most are developed without evidence-based content and theory, and many have poor user engagement. This study aims to: (1) describe the systematic development and theoretical foundations of a youth DUIC smartphone intervention, and (2) describe the pre-testing among a sample of youth and adult cannabis educators (prior to efficacy testing). A 6-step Intervention Mapping approach was utilized to combine theory, evidence, and user feedback to develop and implement the ‘High Alert’ intervention. This evidence-based and iterative process entailed: (1) conducting a needs assessment, (2) identifying intervention objectives, which map on the following DUIC determinants: knowledge, attitudes, risk perception, perceived norms, and self-efficacy, (3) selecting intervention theory and design, (4) developing of the intervention, (5) implementation, and (6) evaluation. Application of Intervention Mapping resulted in a smartphone web-based application that could support reductions in cannabis use and DUIC. The ‘High Alert’ intervention was created to include four modules with contents focusing on educating youth on the dangers and legal risks of DUIC, limiting risky situations, avoiding riding with an impaired driver, planning a safe ride home, and promoting safer cannabis use. Future research will test the efficacy of the intervention in reducing risky cannabis use and DUIC among youth.

Association of Cannabis Use Reduction With Improved Functional Outcomes: An Exploratory Aggregated Analysis From Seven Cannabis Use Disorder Treatment Trials to Extract Data-Driven Cannabis Reduction Metrics.

This exploratory analysis sought to determine whether decreases in cannabis use are associated with improvements in cannabis-related problems and functional outcomes, and if so, what percentage decrease is associated with improvement. Data were aggregated from seven cannabis use disorder treatment trials conducted in the United States (N=920; ages 13 years and older; mean age, 25 years; 30% female, 7% Black, 11% Hispanic/Latinx). Outcome measures included the patient-reported Marijuana Problems Scale (MPS), Health-Related Quality of Life scale (HRQOL), and Pittsburgh Sleep Quality Index and the clinician-rated Clinical Global Impressions (CGI) severity and improvement scales (CGI-S and CGI-I). Generalized estimating equations tested the association between changes in 4-week cannabis use and improvements in functional outcomes. Classification and regression tree (CART) models were developed to determine what reductions in cannabis use could be used as classifiers of improvement. Decreases in the amount and frequency of cannabis use were significantly associated with improvements in MPS severity and total scores as well as improvements on the CGI-I and in sleep quality, but not improvements on the HRQOL. CART models performed best for CGI-I scores (72%-75% correct classification), while other outcome measures did not perform as well (40%-62% correct classification). CART models showed improvements on the CGI at 74% reduction in use amounts and 47% reduction in use days. Reductions in cannabis use (∼50% reduction in use days and ∼75% reduction in use amounts) were associated with clinician-assessed improvement, which suggests that cannabis use reduction may yield benefit among individuals with cannabis use disorder. These exploratory results extract a data-driven metric to inform future studies, clinicians, patients, and policy recommendations.

Facilitators of and obstacles to practitioners’ adoption of harm reduction in cannabis use: a scoping review

Abstract Background Cannabis use can generate potential avoidable harms, hence the need for effective preventive measures and treatment. Studies show the efficacy of harm reduction (HR) in minimizing undesirable consequences associated with this use. Despite its proven efficacy, HR in cannabis use remains poorly applied by many health and social services (HSS) practitioners, especially with young people. However, knowledge regarding the underlying reasons for this is limited. To fill this gap, we aimed to identify facilitators of and obstacles to HSS practitioners’ adoption of HR in cannabis use across OECD countries. Methods We conducted a scoping review, guided by Arksey and O’Malley’s model. The search strategy, executed on health databases and in the grey literature, captured 1804 studies, of which 35 were retained. Data from these studies were extracted in summary sheets for qualitative and numerical analysis. Results Facilitators and obstacles were grouped into four themes: stakeholders’ characteristics (e.g., education, practice experience); clients’ characteristics (e.g., personal, medical); factors related to HR (e.g., perceived efficacy, misconceptions); factors related to the workplace (e.g., type of workplace). Data were also extracted to describe the populations recruited in the selected studies: type of population, clientele, workplace. Conclusion Several factors might facilitate or hinder HSS practitioners’ adoption of HR in cannabis use. Taking these into consideration when translating knowledge about HR can improve its acceptability and applicability. Future research and action should focus on this when addressing practitioners’ adoption of HR.

LOTUS: Protocol for a double-blind placebo controlled randomized trial of hemp-derived cannabidiol for the treatment of cannabis use disorder.

As cannabis legalization continues to spread across the United States, average Δ9-tetrahydrocannabinol concentrations in recreational products have significantly increased, and no prior study has evaluated effective treatments to reduce cannabis use among high potency cannabis users. Some research has found that the non-intoxicating cannabinoid cannabidiol reduces cannabis use and cannabis use disorder-related symptoms, such as affective disturbance and withdrawal. Results of these studies are promising but limited to synthetic or isolated forms of cannabidiol. Conduct a placebo-controlled randomized control trial comparing the effects of hemp-derived cannabidiol on reducing Δ9-tetrahydrocannabinol use in concentrate users with cannabis use disorder. Design. Double-blind, three-arm randomized placebo-controlled trial. Setting. University in the Denver-Boulder, CO, USA area. Study population. Community members who are heavy, stable cannabis concentrate users that meet criteria for at least moderate cannabis use disorder and are seeking to decrease or stop cannabis use. Data. Self-report demographics, substance use, and mental health characteristics, blood and urine based biomarkers and anthropometrics. Outcomes. Affective, physiological, and physical withdrawal symptoms, Δ9-tetrahydrocannabinol use. Analysis. Three-group ANOVAs and χ2 tests will be used to compare baseline variables between groups. Characteristics that differ between groups will be evaluated as potential covariates in subsequent analyses. A multilevel modeling framework will be used for primary outcome analysis to account for the repeated observations nested within participants over time. Pairwise post-hoc simple effects tests will be conducted to confirm patterns of differences. ClinicalTrials.gov NCT06107062.

Cannabis expectancies and associations with cannabis use and health functioning among adults with chronic pain

IntroductionCannabis is increasingly available to individuals in the United States, with the majority of states legalizing medical or recreational cannabis use. Cannabis expectancies (e.g., positive expectations from cannabis use) are related to more frequent cannabis use and associated with greater odds of lapse following a cessation attempt. MethodsTo evaluate the relationship between expectancies and cannabis- and health-related outcomes, we surveyed adults who used medical cannabis for chronic pain (n = 633; 52.2 % female; 82.1 % white) over a two-year period. Then, we performed a principal components analysis (PCA) on the Cannabis Expectancies Questionnaire to derive components of cannabis expectancies. We performed k-means clustering to identify subgroups with similar expectancies. The relationship between subgroup assignment and cannabis use outcomes (frequency, quantity), and physical and mental health functioning were evaluated. ResultsThe PCA identified a three-component solution and k-means clustering identified four subgroups: low expectancies, negative expectancies, amotivation expectancies, and positive expectancies. Participants’ cannabis expectancies were dynamic over time. After adjusting for demographics, expectancy subgroup was able to predict six-month cannabis use frequency (χ2(3) = 11.244; p = 0.010) and mental health functioning (χ2(3) = 24.926; p < 0.001), but not quantity (χ2(3) = 2.741, p = 0.433) or physical health functioning (χ2(3) = 5.110, p = 0.164). ConclusionIn a large cohort of individuals who use medical cannabis, four subgroups with differing cannabis expectancies emerged: low expectancies, negative expectancies, amotivation expectancies, and positive expectancies. These subgroups predicted subsequent outcomes and may be important for targeted intervention approaches to reduce cannabis use and improve functioning.

Predicting cannabis use moderation among a sample of digital self-help subscribers: A machine learning study

BackgroundFor individuals who wish to reduce their cannabis use without formal help, there are a variety of self-help tools available. Although some are proven to be effective in reducing cannabis use, effect sizes are typically small. More insight into predictors of successful reduction of use among individuals who frequently use cannabis and desire to reduce/quit could help identify factors that contribute to successful cannabis use moderation. MethodsWe analyzed data taken from a randomized controlled trial comparing the effectiveness of the digital cannabis intervention ICan to four online modules of educational information on cannabis. For the current study, we included 253 participants. Success was defined as reducing the grams of cannabis used in the past 7 days at baseline by at least 50 % at 6-month follow-up. To train and evaluate the machine learning models we used a nested k-fold cross-validation procedure. ResultsThe results show that the two models applied had comparable low AUROC values of .61 (Random Forest) and .57 (Logistic Regression). Not identifying oneself as a cannabis user, not using tobacco products, high levels of depressive symptoms, high levels of psychological distress and high initial cannabis use values were the relatively most important predictors for success, although overall the associations were not strong. ConclusionsOur study found only modest prediction accuracy when using machine learning models to predict success among individuals who use cannabis and desire to reduce/quit and show interest in digital self-help tools.

The Whys and Wherefores of Reducing Cannabis Use in Early Psychosis: A Qualitative Study of Service Users’ Experiences of Quitting and the Support

Objectives: Cannabis is the most widely used substance among people with recent onset psychosis, but it can have significant negative consequences for long term wellbeing in this cohort. We explored the perspectives of people with recent onset psychosis who used cannabis on their motivations for quitting, their experiences of trying to do so, and their views of the support they had received and the strategies that they had tried. Methods: Twenty one-to-one qualitative interviews were conducted with Early Intervention in Psychosis service users in England who had participated in the CIRCLE trial. Purposive sampling was used to recruit a mix of demographic, cannabis use status, and other characteristics. Results: Quitting cannabis is often very challenging for people and can require making substantial changes in their lives, including to their social relationships, living arrangements, or pathways through work or education. Participants reported wanting help, but often experienced support from mental health services as insubstantial and poorly tailored. Support from peers with relevant lived-experience, where available, was highly valued. Common reasons for quitting included its impact on key life goals or engaging with hobbies, finances, mental health, incompatibility with self-image, and negative use expectancies of intoxication. Concerns regarding mental health were primarily related to psychotic illness, including fear of exacerbating symptoms or experiencing future hospital admissions. Discussion: It is currently unclear how best to support people in this cohort. Interventions that provide support from people with relevant lived experience may be more valued and more clinically effective than current offerings.

A mobile health intervention for emerging adults with regular cannabis use: A micro-randomized pilot trial design protocol

BackgroundEmerging adult (EA) cannabis use is associated with increased risk for health consequences. Just-in-time adaptive interventions (JITAIs) provide potential for preventing the escalation and consequences of cannabis use. Powered by mobile devices, JITAIs use decision rules that take the person's state and context as input, and output a recommended intervention (e.g., alternative activities, coping strategies). The mHealth literature on JITAIs is nascent, with additional research needed to identify what intervention content to deliver when and to whom. MethodsHerein we describe the protocol for a pilot study testing the feasibility and acceptability of a micro-randomized trial for optimizing MiWaves mobile intervention app for EAs (ages 18–25; target N = 120) with regular cannabis use (≥3 times per week). Micro-randomizations will be determined by a reinforcement learning algorithm that continually learns and improves the decision rules as participants experience the intervention. MiWaves will prompt participants to complete an in-app twice-daily survey over 30 days and participants will be micro-randomized twice daily to either: no message or a message [1 of 6 types varying in length (short, long) and interaction type (acknowledge message, acknowledge message + click additional resources, acknowledge message + fill in the blank/select an option)]. Participants recruited via social media will download the MiWaves app, and complete screening, baseline, weekly, post-intervention, and 2-month follow-up assessments. Primary outcomes include feasibility and acceptability, with additional exploratory behavioral outcomes. ConclusionThis study represents a critical first step in developing an effective mHealth intervention for reducing cannabis use and associated harms in EAs.

A Review of Meta-Analyses of Prevention Strategies for Problematic Cannabis Use.

This narrative review summarizes research-to-date on strategies to prevent problematic cannabis use. Ten meta-analytic reviews of cannabis use prevention strategies published after 2010 were identified for this review. The meta-analytic reviews were based on studies evaluating the effectiveness of school-based programs, online/digital interventions, mass-media approaches, culturally specific interventions, and brief interventions. Results indicate that school-based programs, online/digital interventions, and culturally specific interventions may help to prevent or reduce cannabis use, though effect sizes were modest. Brief interventions were found to have no effect on cannabis use frequency, but had small beneficial effects on cannabis use disorder, consequences, and abstinence. Mass media approaches were not effective in preventing cannabis use. School-based programs, online/digital interventions, culturally specific interventions, and brief interventions can have modest effects on problematic cannabis use. Research is needed to evaluate environmental strategies to prevent problematic cannabis use at the population level.

S22 - Results of Pilot Randomized Controlled Trial of Cognitive Behavioral Therapy for Insomnia to Reduce Cannabis Use

S22 - Results of Pilot Randomized Controlled Trial of Cognitive Behavioral Therapy for Insomnia to Reduce Cannabis Use

Intention to quit or reduce e-cigarettes, cannabis, and their co-use among a school-based sample of adolescents

IntroductionLittle is known about the prevalence and predictors of adolescents’ intention to quit or reduce use of e-cigarettes and/or cannabis. MethodsFrequencies of intention to change (quit, reduce) e-cigarettes and/or cannabis use were examined among 23,915 surveyed middle and high school students with sole and co-use. Predictors of intention to change were identified via LASSO/multilevel logistic regression. ResultsAmong those with sole e-cigarette use (n = 543), 40.9 % intended to quit and 24.1 % intended to reduce; non-daily e-cigarette use predicted intention to quit and reduce e-cigarettes (p’s < 0.03). Among those with sole cannabis use (n = 546), 10.6 % intended to quit and 25.1 % intended to reduce; absence of cannabis cravings predicted intention to reduce cannabis use (p < 0.01). Among those with co-use (n = 816), 26.2 % intended to either quit or reduce (quit/reduce) both substances, 27.5 % intended to quit/reduce e-cigarettes only, and 6.9 % intended to quit/reduce cannabis only. No predictors emerged for intention to change e-cigarette use among those with co-use (p’s > 0.09), but younger age, lack of poly-tobacco use, and lack of cannabis craving predicted intention to quit/reduce cannabis use (p’s < 0.04). ConclusionsMore than half of adolescents with past-month e-cigarette use, regardless of concurrent cannabis use, expressed interest in changing their use. However, only heaviness of e-cigarette use emerged as a predictor of intention to change suggesting. While fewer students expressed interest in changing their cannabis use, cannabis cravings and poly-tobacco use predicted intent to change. Overall, findings emphasize the need to tailor interventions towards adolescents engaging in more problematic substance use patterns.

Tax Policy—An Understudied Approach to Reducing Cannabis Use

This Viewpoint discusses the potential of state taxation of cannabis products to curb use and raise revenue for public services.

Treating young adult cannabis use disorder with text message-delivered peer network counseling

BackgroundApproximately 16.5% of U.S. young adults have a cannabis use disorder (CUD) and are at risk for negative outcomes. Treatment can reduce cannabis use, but young adults are less likely to seek help than older adults. Peer Network Counseling-txt (PNC-txt) is a brief, text-delivered, Motivational Interviewing-informed substance use intervention focusing on peer relations and activity spaces as mechanisms for behavioral change. PNC-txt has shown evidence of reducing tobacco and cannabis use with adolescents and young adults, but it has not been tested in the context of legal cannabis use. The current randomized controlled trial sought to expand the evidence regarding the context of PNC-txt effects, comparing one state in which cannabis is legal (Colorado) and one state in which it is not (Tennessee). We hypothesized that participants randomized to PNC-txt would show significant reductions in cannabis use compared to controls, with larger reductions for females and those in Colorado, and that peer relations and activity space would mediate effects. MethodsOne thousand, seventy eight 18–25 year olds (CO: 551; TN: 527) who met screening criteria for CUD and biologically-verified cannabis use were randomly assigned to PNC-txt or waitlist control condition. Every other day for 4 weeks, participants assigned to PNC-txt received pre-programmed text conversations, tailored via data from the baseline assessment. Self-report and biological indicators of cannabis use were measured at 1-, 3-, and 6-months. DiscussionData analysis is underway. Results will provide evidence regarding whether, and how, PNC-txt reduces cannabis use in young adults with CUD. Trial registrationThis trial was prospectively registered on September 28, 2020 with ClinicalTrials.gov (NCT04567394).

M58 - Applying the Observational-Implementation Hybrid Approach to Collect Implementation Data on the Use of Evidence-Based Practices to Support Reductions in Cannabis Use Among Black Sexual Minority Men and Transgender Women

M58 - Applying the Observational-Implementation Hybrid Approach to Collect Implementation Data on the Use of Evidence-Based Practices to Support Reductions in Cannabis Use Among Black Sexual Minority Men and Transgender Women

A test of competing mediators linking trouble sleeping to cannabis use in adolescents and emerging adults.

This study examined day-level associations between trouble sleeping and three cannabis-use indices (likelihood/quantity of use and impaired control). We evaluated behavioral and cognitive mediators of the association between trouble sleeping and cannabis outcomes. Youth (N = 86, ages 15-24, 48.8% female, 58.8% White, 18.6% Latine) who regularly used cannabis were recruited for an intervention study. This preregistered secondary data analysis leveraged data from a 1-week ecological momentary assessment (EMA) study completed prior to intervention. Trouble sleeping, cannabis use, and impaired control over use were assessed each morning; negative affect, risk-taking propensity, and cannabis craving were assessed multiple times and aggregated to create a daily average. Multilevel structural equation modeling evaluated hypothesized temporally sequenced associations and putative mechanisms at the day (i.e., within) and person (i.e., between) level. In bivariate analyses at the person level, there were large-effect associations between trouble sleeping and craving and negative affect, and between craving and cannabis-use likelihood and quantity (rs from .34 to .48). In multilevel analyses at the day level, participants were less likely to use cannabis the next day after reporting more trouble sleeping (β = -.65, p < .001). Trouble sleeping was not directly associated with subsequent cannabis-use quantity or impaired control, or indirectly via negative affect, risk-taking propensity, or craving. Trouble sleeping had differential relations with cannabis-use indices at the day and person levels. To promote youth health and reduce cannabis use, future research may consider the unique, person- and situation-driven mechanistic processes at play. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Mind it! A mindfulness-based group psychotherapy for substance use disorders in adolescent inpatients.

Cannabis use disorder (CUD) is the most frequent reason for psychiatric inpatient substance use disorder (SUD) treatment among 15-19-year-olds in Germany. Despite effective treatment programs, relapse rates remain high. Thus, existing multi-component programs (TAU) need to be enhanced with SUD-specific elements. Mindfulness-based interventions (MBI) seem promising as they can positively influence SUD-related behaviors (e. g. craving). Given limited research in adolescents, this randomized controlled trial investigated the extent to which MBI-based group therapy (Mind it!) as an add-on treatment to TAU led to fewer cannabis use days after 6months in 84 adolescent inpatients with CUD. Additionally, craving, severity of CUD, and changes in mindfulness were monitored (pre-, post-, and follow-up (FU) assessments). The results revealed a significant reduction in cannabis use days in both groups at 6-month FU (d = -0.72 and = -0.75). Although minor additional benefits of Mind it! were evident post-treatment, specifically reduction of craving and SUD severity, by the 6-month mark, TAU exhibited a more substantial decrease in SUD severity (d = 0.78), and reward craving (d = 0.28) compared to Mind it!. Regarding self-regulation skills (mindfulness), Mind it! demonstrated superiority over TAU after 6-month FU (d = 0.27). Therapists judged the MBI as feasible. (Serious) adverse events were unrelated to Mind it!. There was a systematic dropout among Mind it! participants. Primarily, the results emphasize the effectiveness of TAU in reducing cannabis use. MBI also seem feasible for youth, but results remain inconsistent and unstable over time. Importantly, enhanced adherence to reduce dropouts is needed.Trial registration: German Clinical Trials Register, DRKS00014041. Registered on 17 April 2018.

Spanish Adaptation and Psychometric Properties of the Protective Behavioral Strategies for Marijuana Scale: The Protective Behavioral Strategies for Cannabis Scale (S-PBSC)

AbstractThe Protective Behavioral Strategies for Marijuana scale (PBSM) was initially developed using samples of university students in USA. A community sample of Spanish young adults was recruited to provide the Spanish full-length and short versions of the Protective Behavioral Strategies for Cannabis use (S-PBSC; S-PBSC-SF). We followed a rigorous item-selection process to select the most relevant items from the original 50-item pool developed by Pedersen et al. (2016), on the basis of evidence of reliability, evidence of validity according to the internal structure (factor loadings, invariance across genders and university status, and differential item functioning [DIF]), and evidence of validity based on the relationships between S-PBSC scores and cannabis outcomes. Our findings support a 31-item unidimensional measure and a 13-item short form with excellent fit and internal consistency, invariant across genders and college status and free of DIF. Both the S-PBSC and S-PBSC-SF scores were associated with reduced cannabis use and consequences.

A pilot trial of a brief intervention for cannabis use supplemented with a substance-free activity session or relaxation training.

Cannabis use is increasing among college students and commonly co-occurs with anxiety symptoms in this age group. Interventions that reduce anxiety may also reduce cannabis use. Behavioral economic theory suggests that substance use reductions are most likely when there is an increase in substance-free reinforcement. This randomized pilot trial evaluated the efficacy of a brief motivational intervention (BMI) for cannabis supplemented by either a substance-free activity session (SFAS) or a relaxation training (RT) session for reducing cannabis use, problems, craving, and anxiety symptoms. One hundred thirty-two college students (Mage = 19.9; 54% female; 67% White, 31% Black) who reported five or more past-month cannabis use days were randomized to: (a) assessment-only (AO); (b) BMI plus SFAS; or (c) BMI plus RT. Participants in the BMI conditions received two individual counselor-administered sessions plus a brief phone booster session. Outcomes were evaluated 1- and 6-months postintervention. Relative to assessment, both BMI + SFAS and BMI + RT were associated with significant reductions in cannabis problems and craving at 1-month follow-up, and significant reductions in anxiety at 6-month follow-up. Relative to AO, BMI + RT was associated with significant reductions in cannabis use at 1-month follow-up. There were no differences between BMI conditions. This pilot trial was not adequately powered to conclusively evaluate relative efficacy but provides preliminary support for the short-term efficacy of both two-session interventions for reducing anxiety and cannabis-related risk among nontreatment seeking emerging adults. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Preferences of Young Adults With Psychosis for Cannabis-Focused Harm Reduction Interventions: A Cross-Sectional Study: Préférences des jeunes adultes souffrant de psychose pour les interventions de réduction des méfaits axées sur le cannabis : une étude transversale.

Cannabis use is common in people with early-phase psychosis (EP) and is associated with worse treatment outcomes. Few targeted interventions for cannabis use behaviour in this population exist, most focusing on abstinence, none focusing on harm reduction. Many people with EP will not seek treatment for their cannabis use with current therapeutic options. Understanding preferences for cannabis-focused harm reduction interventions may be key to improving outcomes. This study aimed to determine preferences of young adults with EP who use cannabis for cannabis-focused harm reduction interventions. Eighty-nine young adults across Canada with EP interested in reducing cannabis-related harms were recruited. An online questionnaire combining conventional survey methodology and two unique discrete choice experiments (DCEs) was administered. One DCE focused on attributes of core harm reduction interventions (DCE 1) and the second on attributes of boosters (DCE 2). We analysed these using mixed ranked-ordered logistic regression models. Preference questions using conventional survey methodology were analysed using summary statistics. Preferred characteristics for cannabis-focused harm reduction interventions (DCE 1) were: shorter sessions (60 min vs. 10 min, odds ratio (OR): 0.72; P < 0.001); less frequent sessions (daily vs. monthly, OR: 0.68; P < 0.001); shorter interventions (3 months vs. 1 month, OR: 0.80; P < 0.01); technology-based interventions (vs. in-person, OR: 1.17; P < 0.05). Preferences for post-intervention boosters (DCE 2) included opting into boosters (vs. opting out, OR: 3.53; P < 0.001) and having shorter boosters (3 months vs. 1 month, OR: 0.79; P < 0.01). Nearly half of the participants preferred to reduce cannabis use as a principal intervention goal (vs. using in less harmful ways or avoiding risky situations). Further research is required to see if technology-based harm reduction interventions for cannabis featuring these preferences translate into greater engagement and improved outcomes in EP patients.

Neuromodulation for Cannabis Use: A Scoping Review.

This scoping review explores the use of neuromodulation techniques in individuals with cannabis use. Our goal was to determine whether cannabis use alters cortical excitation and inhibition in the context of neuromodulation and to determine whether neuromodulation affects craving and cannabis use patterns. A systematic search was conducted using PubMed, OVID Medline, and PsycINFO from inception to 20 December 2022. Our review identified ten relevant studies, eight of which used Transcranial Magnetic Stimulation (TMS), while two employed Transcranial Direct Current Stimulation (tDCS). Findings from TMS studies suggest that cannabis users exhibit altered cortical inhibition, with decreased short interval intracortical inhibition (SICI) compared to non-users. Single sessions of rTMS did not have any impact on cannabis craving. By contrast, two studies found that multiple sessions of rTMS reduced cannabis use, but these changes did not meet the threshold for statistical significance and both studies were limited by small sample sizes. The two included tDCS studies found contradictory results, with one showing reduced cannabis craving with active treatment and another showing no effect of active treatment on craving compared to sham. Future studies should further explore the effects of multiple treatment sessions and different neuromodulation modalities.