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Cannabis sativa

Cannabis sativa, also known as hemp or marijuana, is a versatile plant with a long history of use in various industries.
This species is widely studied for its potential medicinal and industrial applications, including the production of fibers, oils, and other valuable compounds.
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Most cited protocols related to «Cannabis sativa»

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Publication 2012
Alcohols Cannabis sativa Factor VIII Motivation Paranoia Physical Examination Reading Frames Self-Perception Withdrawal Symptoms Young Adult

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Publication 2009
Cannabis sativa Compulsive Behavior Emotions Environment, Controlled Marijuana Use Mood Visual Analog Pain Scale Withdrawal Symptoms
Interviews were conducted by trained research staff in a private setting and data were recorded anonymously, unaccompanied by any unique identifiers. Subjects were first asked the single screening question, “How many times in the past year have you used an illegal drug or used a prescription medication for non-medical reasons?” (where a response of ≥1 is considered positive). If asked to clarify the meaning of “non-medical reasons”, the research associate added "for instance because of the experience or feeling it caused”. After subjects responded to the single screening question, they were asked if they had ever experienced any of a list of problems related to drug use. For this we modified the previously described Short Inventory of Problems-Alcohol and Drug (SIP-AD) questionnaire, which asks about problems ever experienced in the subject’s lifetime related to alcohol or drug use8 (link). We modified this by eliminating the word alcohol from the questions, a modification we hereafter refer to as the Short Inventory of Problems- Drug Use (SIP-DU). In a separate analysis (but in these subjects) we determined the reliability and validity of the SIP-DU as a measure of drug use consequences 9 . The computerized version of the Composite International Diagnostic Interview (CIDI) Substance Abuse Module was used for the assessment of current (12-month) drug use disorders 10 . This structured interview yields a Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) diagnosis of drug abuse or dependence. In addition, as part of the CIDI, subjects were asked detailed questions about current (past year) use of illicit drugs (marijuana, cocaine, heroin, stimulants or hallucinogens) and non-medical use of prescription drugs. Following the interview subjects were asked to undergo oral fluid testing for the presence of common drugs of abuse (opiates, benzodiazepines, cocaine, methamphetamines, tetrahydrocannabinol (THC). Once collected, oral fluid was sent to an outside laboratory for analysis using methodology that yields results comparable to urine drug screening (Intercept™ immunoassay, OraSure Technologies, Bethlehem, PA)11 (link)–14 (link). In order to aid in the interpretation of drug test results subjects had been asked, as part of the interview, if they had recently been prescribed any drugs from a list of opiates or benzodiazepines. Because this question was added to the questionnaire during the study, responses were missing from 23 subjects who underwent oral fluid testing. Subjects were not told that they would be asked to undergo drug testing until the interview was complete. After completing the interview, they were compensated and thanked for their participation. They were then asked to undergo oral fluid testing and a second informed consent process was completed. Following the single drug screening question, but before the other assessments, the 10-item Drug Abuse Screening Test (DAST-10) was administered for comparison 4 (link). As part of a parallel study on screening for unhealthy alcohol use, subjects were also asked a single alcohol screening question (preceding the drug screening question), two other brief alcohol screening questionnaires and a calendar based assessment of past-month alcohol consumption (all after the drug screen and prior to the CIDI) 7 (link).
Publication 2010
Alcohol Problem Benzodiazepines Cannabis sativa Central Nervous System Stimulants Cocaine Diagnosis Dronabinol Drug Use Disorders Ethanol Hallucinogens Heroin Illicit Drugs Immunoassay Methamphetamine Opiate Alkaloids Pharmaceutical Preparations Substance Abuse Substance Abuse Detection Urine
Subjects were enrolled in the Maternal Lifestyle Study (MLS), a multisite longitudinal study of children at risk due to factors such as prenatal exposure to cocaine and other substances and prematurity.5 (link) Details of enrollment and exclusion criteria are described elsewhere.22 (link)–25 (link) The study was approved by the institutional review board at each study site and written informed consent was obtained. The exposed group (n=658) was based on mother report of cocaine use during pregnancy and/or a positive meconium assay for cocaine.22 (link) The comparison group (n=730) included children born to mothers who denied cocaine use confirmed by negative meconium results, group matched to the exposed group by gestational age categories (<32 weeks, 33–36 weeks and >36 weeks), child gender, race, and ethnicity within study site. Background substances associated with cocaine use, alcohol, tobacco, and marijuana, were included in both groups. Children were seen at 10 visits from 1 month to 4½ years with an average retention rate of 78%.
Publication 2009
Biological Assay Cannabis sativa Child Childbirth Cocaine Ethanol Ethics Committees, Research Ethnicity Gestational Age Meconium Mothers Pregnancy Premature Birth Retention (Psychology) Tobacco Products Vision
The total sample completed a short demographics questionnaire, the PPI items, and the DFAQ-CU. We initially developed the 41-item DFAQ-CU to measure frequency, age of onset, and quantity of cannabis used. We designed 11 items to measure frequency, four items to measure age of onset, and nine items to measure quantity of cannabis use. Therefore, there were a total of 24 core items designed to measure these three aspects of cannabis use. The three subscales were constructed such that higher scores would indicate more frequent use, older age of onset, and higher quantity of use. The age of onset items probe for age of first use, age of regular cannabis use, age of daily or near daily cannabis use, and frequency of cannabis use before the age of 16. In an attempt to capture a regular pattern of use that is not heavy use, regular use is defined in the questionnaire as use of cannabis two or more times per month for six months or longer [13 (link), 14 (link), 15 (link)]. The age of 16 was targeted to be consistent with previous research that has defined early/adolescent onset use at this age [15 (link), 16 (link), 17 (link)]. The remaining items are used to establish skip logic and to screen and characterize the sample. These screening/characterization items are further described in the Discussion section. The complete revised inventory with response options and scoring information are provided in the S1 File.
The subsample of 645 participants also completed an online self-report version of the TLFB for Marijuana [6 ] and the MSHQ [9 (link)]. Moreover, they completed the CAST [18 ], which measures risk of cannabis use disorder and dependence; the CUDIT-R [19 (link)], which measures cannabis misuse; the Marijuana Screening Inventory (MSI-X) [20 (link)], which measures adverse effects associated with cannabis use; the CUPIT [21 (link)], which measures risky and problematic cannabis use; and the Alcohol Use Disorder Identification Test (AUDIT) [22 (link)], which measures harmful alcohol use.
Publication 2017
Adolescent Alcohol Use Disorder Cannabis Cannabis sativa CD3EAP protein, human Drug Abuse Ethanol

Most recents protocols related to «Cannabis sativa»

Patient characteristics and exposures examined included age in years, gender, disease type (CD vs. UC), race (African American/Black, Asian, other/multiracial, White), tobacco use (current, former, never, unknown), and alcohol use (current, former, never, unknown), a diagnosis of anxiety or depression, Charlson comorbidity index (CCI) score, index admission length of stay (LOS) in days and hospital opioid use. To assess for cannabis use prior to hospitalization, a natural language search of admission documents was performed for the terms “marijuana”, “cannabis”, “pot” and “CBD”. Manual chart review was then performed to confirm cannabis use. Cannabis use was categorized as either active, past or none. Active cannabis use was further classified as medicinal, recreational, or unknown.
Publication 2023
African American Anxiety Asian Americans Cannabis Cannabis sativa Diagnosis Gender Hospitalization Opioids Patients
For each day, participants were asked, “How many times did you use marijuana or hash?” Answer options ranged continuously from 0 to 7 or more times. Those who reported any cannabis use were then asked, “How did you use marijuana or hash?” with answer options including smoking, vaping, and edibles. While we asked about intensity of use of cannabis in general, we did not ask about intensity of use of each cannabis product separately, to avoid overburdening participants. As such, depending on a participant’s interpretation, a smoking occasion of combustible cannabis, a hit of a cannabis vaporizer, or consuming 1 edible may have been considered as a single occasion of cannabis use in our study.
Publication 2023
Cannabis Cannabis sativa Marijuana Abuse Vaporizers
The study’s population was adolescents admitted to this public psychiatric institution. Purposive sampling (Creswell & Creswell 2017 :121) was utilised to select adolescents abusing substances. The inclusion criteria were adolescents between 18 and 21 years of age, admitted to a public psychiatric hospital in Greater Giyani Municipality, who could speak either in English or Xitsonga as the commonly used languages in the province and were willing to provide information about their personal experiences of abusing substances such as marijuana, inhalants, ‘nyaope’ and alcohol, which are commonly used substances in the Greater Giyani area. Nyaope is an illegal cocktail drug particular to South Africa; it is a mixture of antiretroviral drugs, rat poison, acid and detergents to produce a powder (Bala & Kang’ethe 2021 (link):307).
According to Patino and Ferreira (2018 (link):84), exclusion criteria are characteristics of potential study participants who meet the inclusion requirements but have extra traits that could hinder the study’s success or raise the likelihood of an adverse result. The exclusion criteria of this study were adolescents who were not admitted at a public psychiatric hospital and those who were admitted, but their condition was acute, and they presented with psychotic features.
Publication 2023
4-bromobenzoyl-(alpha-aminoisobutyric acid)(5)-leucyl-(alpha-aminoisobutyric acid)(2)-methoxy Acids Adolescent Cannabis sativa Detergents Ethanol Illicit Drugs Inhalation Drug Administration Mental Disorders Pharmaceutical Preparations Poisons Powder
The primary outcome was a clinician-made CUD diagnosis given at 1 or more outpatient or inpatient encounters within a calendar year. International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) was used from 2005 to 2015 (305.2X, abuse; 304.3X, dependence). International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) was used from 2016 to 2019 (F12.1, abuse; F12.2, dependence). The abuse and dependence categories were combined because their criteria are unidimensional.3 (link) Remission and unspecified cannabis use were excluded.
Primary exposures were state-year variables indicating state enactment of MCLs and/or RCLs, ie, that the law was operational and residents could rely on its legal protections. Patient state of residence was indicated by last health care encounter for each year. States were categorized each year as no cannabis laws (no CLs), MCLs only, and having MCLs/RCLs. Also, because state legal protection of dispensaries can occur post-MCL or -RCL enactment, potentially affecting availability, we used the RAND-USC Opioid Policy Tools and Information Center marijuana policy data36 to create state-year variables indicating the years that legally protected dispensaries were operational for medical cannabis in MCL-only states and for recreational cannabis in MCL/RCL states.
Individual control variables included age (continuous and categorized as 18-34, 35-64, and 65-75 years), sex (male/female), and race and ethnicity categories (Hispanic, non-Hispanic Black [hereafter, Black], non-Hispanic White [hereafter, White], other/multiple, and unknown), obtained from demographic files. Time-varying yearly state control covariates were state/year rates from American Community Survey data: percentage male, Black, Hispanic, White, 18 years or older, unemployed, income below poverty threshold, and yearly median household income. One-year estimates were used for 2005 to 2008,37 and 5-year estimates were used for 2009 to 2019,38 downloaded using the R tidycensus package (Tidycensus).39
Publication 2023
Cannabis Cannabis sativa Diagnosis Drug Abuse Ethnicity Hispanics Households Inpatient Males Medical Marijuana Opioids Outpatients Patients Woman
On ExPASy website (https://web.expasy.org/protparam/), the primary structure and various physical and chemical properties of the target protein were predicted (Han et al., 2020b (link)). The domain and tertiary structure of MbMYBC1 protein were predicted on SMART and SWISS-MODEL websites respectively. The sequences of MbMYBC1 were blasted in NCBI database, MYB sequences of several other species with high sequence similarity was select. Compared these sequences with DNAMAN 5.2, and then constructed phylogenetic tree through MEGA7 neighbor connection method. These amino acid sequences were PbMYBC1 (Pyrus bretschneideri, XP_048430460.1), MaMYBC1 (Mercurialis annua, XP_050229005.1), CiMYBC1 (Carya illinoinensis, XP_042940585.1), JcMYBC1, (Jatropha curcas, XP_012088642.1), JrMYBC1 (Juglans regia, XP_035544691.1), CsMYBC1 (Cannabis sativa, XP_021654469.1), MsMYBC1 (Malus sylvestris, XP_050115747.1), EgMYBC1(Eucalyptus grandis, XP_010036386.2), PaMYBC1 (Prunus avium, XP_021808479.1), AtMYBC1 (Arabidopsis thaliana, AT2G40970).
Publication 2023
Amino Acid Sequence Arabidopsis thalianas Cannabis sativa Carya illinoensis chemical properties Eucalyptus Jatropha curcas Juglans regia Malus Physical Examination Protein Targeting, Cellular Prunus avium Pyrus

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More about "Cannabis sativa"

Cannabis sativa, also known as hemp or marijuana, is a remarkable and versatile plant with a rich history of uses across various industries.
This species has garnered significant attention for its potential medicinal and industrial applications, ranging from the production of fibers, oils, and other valuable compounds to its potential therapeutic benefits.
Researchers and innovators worldwide are actively exploring the many facets of Cannabis sativa, utilizing cutting-edge tools and techniques to optimize their research protocols.
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By streamlining the research process and accelerating discoveries, PubCompare.ai helps researchers and industry professionals unlock the full potential of this remarkable plant.
Whether you're working with SAS 9.4, SPSS version 23, Stata 14, or exploring the properties of compounds like Umbelliferone and Acetic acid, PubCompare.ai's tools can assist in navigating the complex landscape of Cannabis sativa research and development.
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