2021
DOI: 10.1093/jat/bkab037
|View full text |Cite
|
Sign up to set email alerts
|

Implementation of Mathematical Models to Predict New Cannabis Use by Urine Drug Testing: It Is Time to Move Forward

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 21 publications
0
3
0
Order By: Relevance
“…Future studies should obtain twice weekly creatinine-corrected quantitative THC-COOH levels using chromatographic and mass spectrometric methods. Applying a mathematical model (e.g., Schwilke et al 66 ) to these THC-COOH levels can determine, with a high degree of certainty, if cannabis abstinence was indeed sustained 67 .…”
Section: Discussionmentioning
confidence: 99%
“…Future studies should obtain twice weekly creatinine-corrected quantitative THC-COOH levels using chromatographic and mass spectrometric methods. Applying a mathematical model (e.g., Schwilke et al 66 ) to these THC-COOH levels can determine, with a high degree of certainty, if cannabis abstinence was indeed sustained 67 .…”
Section: Discussionmentioning
confidence: 99%
“…With the basic Reproduction Number ( 𝑅 0 ) of cannabis consumer at the SFC equilibrium state of this model, it is found that 𝐸 0 (𝑆 0 , 𝐸 0 , 𝐸 𝑁𝐵 0 , 𝐸 𝐵 0 , … … . ) = ( ˄ µ , 0,0,0,0,0,0,0,0,0,0)𝜖ℝ 11 .…”
Section: Basic Reproduction Number Of Cannabis Sativa Consumptionmentioning
confidence: 99%
“…Menetrey et al [9] developed a mathemathical model for the prediction of time of Cannabis exposure while Chapwanya et al [10] developed a model for Cannabis epidemic in a South African province with a non-linear incidence rate. Toben et al [11] looked at the implementation of mathematical models to predict new Cannabis use by urine drug testing: it is time to move forward, while Abramson et al [12] considered the importance of mathematical models to explore the effects of marijuana and other plant based products on learning and memory in their respective study. Saini et al [13] discussed a topic entitled 'Hempseed (Cannabis sativa L) bulk mass modelling based on engineering properties in their study'.…”
Section: Introductionmentioning
confidence: 99%