Clinical and demographic data were analyzed with descriptive statistics and expressed in terms of mean ± standard error of the mean. The Kolmogorov-Smirnov test was used to check for normality. Non-parametric Wilcoxon or Friedman tests analyzed results that failed this test. The remained data was analyzed by two-way repeated-measures ANOVA. A preliminary analysis indicated no gender effect; thus, the factors analyzed were drug, order of drug administration (placebo-CBD versus CBD-placebo), and the interaction between drug and phase. A three-way repeated-measures ANOVA was employed to analyze data throughout the three phases of each exam. In case of significant interactions, paired Student’s t-tests were performed at each phase and/or order to compare the differences between groups. In case of significant time effect, the Bonferroni’s post hoc test was used for multiple comparisons. In cases where sphericity conditions were not reached, the degrees of freedom of the repeated factor were corrected with the Huynh-Feldt epsilon. All the analyses were performed with the Statistical Package for the Social Sciences (SPSS) v.20.0.
Weight plays a role in the effects of CBD oil, and bottle size should be selected based on how much you weigh. Let’s say you weigh less than 130 pounds and desire light CBD oil effects; this means that 11 mg or less will probably suffice per dose, giving roughly 40 doses from a 450-mg concentration. If you weigh more than 230 pounds and desire strong effects, then this same concentration will supply roughly 10 doses.
CBD products that don't contain THC fall outside the scope of the U.S. Drug Enforcement Agency's (DEA) Controlled Substances Act, which means CBD products are legal to sell and consume as long as they don't have THC. That's likely one of the reasons why CBD products, including CBD oil, are becoming more socially acceptable and increasingly popular. In 2016, Forbes reported that CBD products are expected to be a $2.2 billion industry by 2020.
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