The potential risk of contaminants in artisanal cannabis preparations,in addition to the variability in cannabinoid content and labeling accuracy , are legitimate concerns for consumer safety. Although the samples collected in the current study were intended for the treatment of seizures in children with epilepsy,it is possible that any individual seeking ‘CBD-rich’ artisanal products for treatment of a medical condition could be susceptible to purchasing contaminated products. The use of artisanal products accessed without prescription evades the necessary medical and regulatory oversight to ensure the patient’s suitability for medicinal cannabis  and subsequent monitoring for safety and adverse events. Such products are unlikely to be optimized for safety or efficacy, indicating a need for improved patient access to safe, quality-controlled prescribed products from licensed manufacturers. Cannabis consumption is estimated at 192 million users in 2018 which equals 3.9 per cent of the world community aged between 15 and 64 years.

Cannabis grow lights use represents the most commonly illicit drug intake worldwide, with around 3.8% one-year prevalence worldwide and 5% in North Africa .Cannabis use may lead to adverse health effects such as heart attacks, brain development issues, lung tissues damage and psychiatric comorbidities ; It is also responsible for the decline of cannabis users’ living conditions and other social consequences such as poor schooling or week work performance , family violence stigmatisation, social discrimination and criminality. In addition,cannabis users, victims of social discrimination, are often challenged by many health system challenges such as poor and inequitable access to healthcare, qualified human resource shortage and lack of social and assistance to quit drug use . Recently, ensuring timely access to medical care and adequate support and assistance for cannabis users has become an important concern for policy makers and health system stakeholders.More specifically, increased attention has been placed in using information and communication technologies  to promote access to quality health care services for cannabis users and help them overcome major health system barriers  and better connect with appropriate health services.Available evidence supports the effectiveness of mobile health technologies in improving patients adherence to treatment and ensuring better symptom monitoring by health professionals .

For technology users, m-Health or mobile health is the visible part of ICT iceberg. It is defined as “medical and public health practices relying on mobile devices, such as cell phones, patient monitoring systems, personal digital assistants and other wireless devices” . m-Health has benefited from the rise of digital technologies and the emergence of increasingly innovative and intuitive portable technological tools. m-Health interventions range from sending simple text messages,to complex telemedicine practices using connected mobile devices  and m-Health applications associated or not with sensors.Over 340 mobile and ready-to-wear devices are made available to users around the world , and more than 325,000 m-Health applications are currently available on the main commercial virtual stores “Google app” and “Apple iOS” , this number estimated at 160,000 in 2015, has doubled after two years with more than 200 mobile apps added every day . m-Health intervention have proved appropriate in managing chronic diseases , by allowing useful functionalities for both patients, and health workers.Therefore, m-Health interventions may play a key role in the fight against cannabis grow tent intake issues.

However, little evidence exists on the functionality, usability and effectiveness of m-Health intervention for cannabis use addiction. In response, we carried out a scoping review that aims at exploring technical and functional characteristics of available m-Health-apps intended for non-medical Cannabis Use and Dependence . We aimed more specifically to  identify mobile applications used as m-Health interventions,describe their characteristics and  discuss evaluation outputs of CUD-focused apps. The rest of the paper is structured as follows. Section 2 presents the research methodology. General, technical and functional characteristics of CUD m-Health intervention apps are provided in Section 3 along with evaluation approaches. These results are discussed in Section 4 in terms of usability. The conclusions are included in Section 5.Frequent cannabis use in adolescence has been shown to increase the risk for mental health conditions such as depression, anxiety, and psychotic symptoms, and has potential consequences on brain development, especially in cognition, memory, and problem-solving.