scholarly journals Predicting the transition from frequent cannabis use to cannabis dependence: A three-year prospective study

2013 ◽  
Vol 133 (2) ◽  
pp. 352-359 ◽  
Author(s):  
Peggy van der Pol ◽  
Nienke Liebregts ◽  
Ron de Graaf ◽  
Dirk J. Korf ◽  
Wim van den Brink ◽  
...  
2021 ◽  
Vol 27 (6) ◽  
pp. 520-532
Author(s):  
Ivett E. Ortega-Mora ◽  
Ulises Caballero-Sánchez ◽  
Talía V. Román-López ◽  
Cintia B. Rosas-Escobar ◽  
Mónica Méndez-Díaz ◽  
...  

AbstractAttention allows us to select relevant information from the background. Although several studies have described that cannabis use induces deleterious effects on attention, it remains unclear if cannabis dependence affects the attention network systems differently.Objectives:To evaluate whether customary consumption of cannabis or cannabis dependence impacts the alerting, orienting, and executive control systems in young adults; to find out whether it is related to tobacco or alcohol dependence and if cannabis use characteristics are associated with the attention network systems.Method:One-hundred and fifty-four healthy adults and 102 cannabis users performed the Attention Network Test (ANT) to evaluate the alerting, orienting, and executive control systems.Results:Cannabis use enhanced the alerting system but decreased the orienting system. Moreover, those effects seem to be associated with cannabis dependence. Out of all the cannabis-using variables, only the age of onset of cannabis use significantly predicted the efficiency of the orienting and executive control systems.Conclusion:Cannabis dependence favors tonic alertness but reduces selective attention ability; earlier use of cannabis worsens the efficiency of selective attention and resolution of conflicts.


2019 ◽  
Vol 25 (12) ◽  
pp. 3256-3266 ◽  
Author(s):  
Peter Manza ◽  
Kai Yuan ◽  
Ehsan Shokri-Kojori ◽  
Dardo Tomasi ◽  
Nora D. Volkow

AbstractCannabis use is rising, yet there is poor understanding of biological processes that might link chronic cannabis use to brain structural abnormalities. To lend insight into this topic, we examined white matter microstructural integrity and gray matter cortical thickness/density differences between 89 individuals with cannabis dependence (CD) and 89 matched controls (64 males, 25 females in each group) from the Human Connectome Project. We tested whether cortical patterns for expression of genes relevant for cannabinoid signaling (from Allen Human Brain Atlas postmortem tissue) were associated with spatial patterns of cortical thickness/density differences in CD. CD had lower fractional anisotropy than controls in white matter bundles innervating posterior cingulate and parietal cortex, basal ganglia, and temporal cortex. The CD group also had significantly less gray matter thickness and density in precuneus, relative to controls. Sibling-pair analysis found support for causal and graded liability effects of cannabis on precuneus structure. Spatial patterns of gray matter differences in CD were significantly associated with regional differences in monoacylglycerol lipase (MAGL) expression in postmortem brain tissue, such that regions with higher MAGL expression (but not fatty-acid amide hydrolase or FAAH) were more vulnerable to cortical thinning. In sum, chronic cannabis use is associated with structural differences in white and gray matter, which was most prominent in precuneus and associated white matter tracts. Regions with high MAGL expression, and therefore with potentially physiologically restricted endogenous cannabinoid signaling, may be more vulnerable to the effects of chronic cannabis use on cortical thickness.


2020 ◽  
Vol 215 ◽  
pp. 108220
Author(s):  
Nicholas Lintzeris ◽  
Llewellyn Mills ◽  
Adrian Dunlop ◽  
Jan Copeland ◽  
Iain Mcgregor ◽  
...  

2014 ◽  
Vol 2 (1) ◽  
pp. 39
Author(s):  
Mahesh R Gowda ◽  
Nikitha Harish ◽  
S Preeti ◽  
Sonali Thesia ◽  
Radhika Magaji

2013 ◽  
Vol 22 (3) ◽  
pp. 277-284 ◽  
Author(s):  
Matthew Tyler Boden ◽  
Kimberly A. Babson ◽  
Anka A. Vujanovic ◽  
Nicole A. Short ◽  
Marcel O. Bonn-Miller

Addiction ◽  
2011 ◽  
Vol 106 (7) ◽  
pp. 1301-1308 ◽  
Author(s):  
Ralph E. Tarter ◽  
Diana Fishbein ◽  
Levent Kirisci ◽  
Ada Mezzich ◽  
Ty Ridenour ◽  
...  

Author(s):  
Anirban Dutta ◽  
Abhishek Ghosh ◽  
Shubhmohan Singh

Cannabis is the most widely cultivated, trafficked and abused illicit drug (“WHO | Cannabis,” n.d.; “World Drug Report 2020,” n.d.). In 2018, an estimated 192 million people aged 15-64 years used cannabis for nonmedical purposes globally (Degenhardt et al., 2013). The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated that, across the globe, there were more than 22·1 million people with cannabis dependence (Degenhardt et al., 2018). Moreover, the same study calculated that cannabis dependence could be accounted for 646 thousand Disability Adjusted Life Years, globally. Importantly, cannabis dependence mostly affects young adults (20-24 years), and thus has significant negative impact on the growth and productivity of not only these individuals but also to the societies and nations (Degenhardt et al., 2013). In addition to the dependence syndrome, cannabis use is associated with increased risk of psychosis, cognitive dysfunction, academic problems, and road side accidents (Volkow et al., 2014). A review showed a fairly consistent associations between cannabis use and both lower educational attainment and increased reported use of other illicit drugs (Macleod et al., 2004). In the United States, Cannabis Use Disorder (CUD) is an escalating problem in young adults by legalization (Cerdá et al., 2020) where National Survey on Drug Use and Health reported increased prevalence from 5.1% in 2015 to 5.9% in 2018 in 18-25 year olds (“2019 NSDUH Detailed Tables | CBHSQ Data,” n.d.). The psychoactive effects are due to type 1 cannabinoid receptor (CB1), the cannabinoid binding protein, that are highly expressed in the cerebellar cortex (Marcaggi, 2015). CB1 is primarily found in the molecular layer at the most abundant synapse type in the cerebellum (Marcaggi, 2015) that can shape the spike activity of cerebellar Purkinje cell (Brown et al., 2019). Moreover, granule cell to Purkinje cell synaptic transmission can trigger endocannabinoid release (Alger and Kim, 2011), which may be important for information processing by cerebellar molecular layer interneurons (Dorgans et al., 2019). This suggests that endocannabinoids could be essential to neurocognitive aspects of cerebellar function (Di Marzo et al., 2015),(Marcaggi, 2015),(Alger and Kim, 2011). Accumulating evidence also suggests cerebellar modulation of the reward circuitry and social behaviour, via direct cerebellar innervation of the ventral tegmental area (VTA) including dopamine cell bodies (A1) in the VTA (Carta et al., 2019). The VTA-dopamine (DA) signalling in the nucleus accumbens (NAc) and the medial prefrontal cortex (mPFC) (Lohani et al., 2019) play a key role in motivatedbehaviours and cognition. Cerebellar neuropathological changes can result in aberrant dopaminergic activity in the NAc and mPFC (ROGERS et al., 2011),(Lohani et al., 2019). Therefore, there is a critical need to determine how cerebellum modulate limbic VTA-DA signalling. Cerebellar Non-Invasive Brain Stimulation (NIBS) is postulated to be most relevant in CUD since endocannabinoids are essential to cerebellar function that includes reward-related behaviours, information processing, and cognitive control. (Di Marzo et al., 2015),(Marcaggi, 2015),(Alger and Kim, 2011). Furthermore, cerebellar NIBS can facilitate training of cognitive control in CUD during a during visual cue reactivity paradigm using a mobile virtual reality (VR) interface that can also allow remote delivery of cerebellar NIBS in conjunction with VR-based cognitive training for home-based intervention. Specifically, transcranial electrical stimulation (tES) can be translatable to low-cost (<$150) mobile devices that can be used in a low resource home-based setting (Carvalho et al., 2018).


2021 ◽  
Author(s):  
Christian Baumgartner ◽  
Michael Patrick Schaub ◽  
Andreas Wenger ◽  
Doris Malischnig ◽  
Mareike Augsburger ◽  
...  

BACKGROUND Despite increasing demand for treatment among cannabis misusers in many countries, most misusers are not in treatment. Internet-based self-help offers an alternative for those hesitant to seek face-to-face therapy, though low-effectiveness and adherence issues often arise. Through adherence-focused guidance enhancement (AFGE), we aimed to increase adherence to, and the effectiveness of Internet-based self-help among cannabis misusers. OBJECTIVE A three-arm randomized controlled trial was conducted comparing the effectiveness of (1) an AFGE Internet-based self-help intervention with social presence (AFGE-SP), (2) a similar intervention with an impersonal service team (AFGE-ST), and (3) Internet access as usual (IAU, controls). METHODS From July 2016—May 2019, 575 cannabis misusers (70.6% males, mean age=28.3) not otherwise in treatment were recruited from the general population. The primary outcome was cannabis-use days over the preceding 30 days. Secondary outcomes included cannabis-dependence severity, changes in cannabis misuse disorder (CMD) symptoms, and intervention adherence. RESULTS All groups exhibited reduced cannabis-use days after 3 months (AFGE-SP: -8.2; AFGE-ST: -9.8; IAU: -4.2). AFGE-ST participants reported significantly fewer cannabis-use days than IAU controls (P = .01, d = .60); a similar reduction in the AFGE-SP (d=.40) group failed to achieve significance (P =.07). There was no significant difference between the two intervention groups. AFGE-ST patients also exhibited superior improvements in cannabis-use disorder, cannabis-dependence severity, and general anxiety symptoms after three months. CONCLUSIONS Adding an impersonal service team to the AFGE Internet-based self-help intervention significantly reduced cannabis use, cannabis use disorder, dependence severity, and general anxiety symptoms. CLINICALTRIAL http://www.isrctn.com/ISRCTN11086185


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