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Preliminary Evidence for Cannabis and Nicotine Urinary Metabolites as Predictors of Verbal Memory Performance and Learning Among Young Adults

Published online by Cambridge University Press:  15 July 2021

Natasha E. Wade Open the ORCID record for Natasha E. Wade [Opens in a new window] ,
Rachel Baca ,
Kelly E. Courtney ,
Connor J. McCabe ,
M. Alejandra Infante ,
Marilyn A. Huestis  and
Joanna Jacobus
Natasha E. Wade
Affiliation:
Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive, MC 0405, La Jolla, CA92093, USA
Rachel Baca
Affiliation:
Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive, MC 0405, La Jolla, CA92093, USA
Kelly E. Courtney
Affiliation:
Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive, MC 0405, La Jolla, CA92093, USA
Connor J. McCabe
Affiliation:
Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive, MC 0405, La Jolla, CA92093, USA
M. Alejandra Infante
Affiliation:
Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive, MC 0405, La Jolla, CA92093, USA
Marilyn A. Huestis
Affiliation:
Institute of Emerging Health Professions, Thomas Jefferson University, 1020 Walnut Street, Philadelphia, PA, 19107, USA
Joanna Jacobus*
Affiliation:
Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive, MC 0405, La Jolla, CA92093, USA
*
*Correspondence and reprint requests to: Joanna Jacobus, Ph.D., Associate Professor, Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive, MC 0405, La Jolla, CA92093, USA. E-mail: jjacobus@ucsd.edu
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Abstract

Objective:

Verbal memory deficits are linked to cannabis use. However, self-reported episodic use does not allow for assessment of variance from other factors (e.g., cannabis potency, route of consumption) that are important for assessing brain-behavior relationships. Further, co-occurring nicotine use may moderate the influence of cannabis on cognition. Here we utilized objective urinary measurements to assess the relationship between metabolites of cannabis, 11-nor-9-carboxy-∆9-tetrahydrocannabinol (THCCOOH), and nicotine (cotinine) on verbal memory in young adults.

Method:

Adolescents and young adults (n = 103) aged 16–22 completed urinary drug testing and verbal memory assessment (RAVLT). Linear regressions examined the influence of THCCOOH and cotinine quantitative concentrations, and their interaction, on RAVLT scores, controlling for demographics and alcohol. Cannabis intake frequency was also investigated. Secondary analyses examined whether past month or recency of use related to performance, while controlling for THCCOOH and cotinine concentrations.

Results:

THCCOOH concentration related to both poorer total learning and long delay recall. Cotinine concentration related to poorer short delay recall. Higher frequency cannabis use status was associated with poorer initial learning and poorer short delay. When comparing to self-report, THCCOOH and cotinine concentrations were negatively related to learning and memory performance, while self-report was not.

Conclusions:

Results confirm the negative relationship between verbal memory and cannabis use, extending findings with objective urinary THCCOOH, and cotinine concentration measurements. No moderating relationship with nicotine was found, though cotinine concentration independently associated with negative short delay performance. Findings support the use of both urinary and self-report metrics as complementary methods in substance use research.

Keywords

CannabisCreatine-normalized THCCOOH concentrationsTHCCOOHCotinineVerbal memoryUrinary analysis
Type
Regular Research
Information
Journal of the International Neuropsychological Society , Volume 27 , Special Issue 6: Clarifying the Complexities of Cannabis and Cognition , July 2021 , pp. 546 - 558
Copyright
Copyright © INS. Published by Cambridge University Press, 2021

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References

REFERENCES

Akinci, I. H., Tarter, R. E., & Kirisci, L. (2001). Concordance between verbal report and urine screen of recent marijuana use in adolescents. Addictive Behaviors, 26, 613–619.CrossRefGoogle ScholarPubMed
Bhattacharyya, S., Morrison, P. D., Fusar-Poli, P., Martin-Santos, R., Borgwardt, S., Winton-Brown, T., … McGuire, P. K. (2010). Opposite effects of delta-9-tetrahydrocannabinol and cannabidiol on human brain function and psychopathology. Neuropsychopharmacology, 35(3), 764–774. doi: 10.1038/npp.2009.184 CrossRefGoogle ScholarPubMed
Blest-Hopley, G., Giampietro, V., & Bhattacharyya, S. (2020). A Systematic review of human neuroimaging evidence of memory-related functional alterations associated with cannabis use complemented with preclinical and human evidence of memory performance alterations. Brain Sciences, 10(2), 26–41. doi: 10.3390/brainsci10020102 CrossRefGoogle ScholarPubMed
Bonnet, U., Borda, T., Scherbaum, N., & Specka, M. (2015). Abstinence phenomena of chronic cannabis-addicts prospectively monitored during controlled inpatient detoxification (Part II): Psychiatric complaints and their relation to delta-9-tetrahydrocannabinol and its metabolites in serum. Drug Alcohol Depend, 155, 302–306. doi: 10.1016/j.drugalcdep.2015.08.003 CrossRefGoogle ScholarPubMed
Brown, M. G., Lippke, K., Tapert, S. F., Stewart, D. G., & Vik, P. W. (1998). Psychometric evaluation of the customary drinking and drug use record (CDDR): A measure of adolescent alcohol and drug involvement. Journal of Studies on Alcohol, 59(4), 427–438.CrossRefGoogle ScholarPubMed
Campos, M. W., Serebrisky, D., & Castaldelli-Maia, J. M. (2016). Smoking and cognition. Current Drug Abuse Reviews, 9(2), 76–79. doi: 10.2174/1874473709666160803101633 CrossRefGoogle ScholarPubMed
Dahlgren, M. K., Sagar, K. A., Smith, R. T., Lambros, A. M., Kuppe, M. K., & Gruber, S. A. (2020). Recreational cannabis use impairs driving performance in the absence of acute intoxication. Drug and Alcohol Dependence, 208, 107771. doi: 10.1016/j.drugalcdep.2019.107771 CrossRefGoogle ScholarPubMed
Desrosiers, N. A., & Huestis, M. A. (2019). Oral fluid drug testing: Analytical approaches, issues and interpretation of results. Journal of Analytical Toxicology, 43(6), 415–443. doi: 10.1093/jat/bkz048 CrossRefGoogle ScholarPubMed
Desrosiers, N. A., Lee, D., Concheiro-Guisan, M., Scheidweiler, K. B., Gorelick, D. A., & Huestis, M. A. (2014). Urinary cannabinoid disposition in occasional and frequent smokers: Is THC-glucuronide in sequential urine samples a marker of recent use in frequent smokers? Clinical Chemistry, 60(2), 361–372. doi: 10.1373/clinchem.2013.214106 CrossRefGoogle ScholarPubMed
Desrosiers, N. A., Milman, G., Mendu, D. R., Lee, D., Barnes, A. J., Gorelick, D. A., & Huestis, M. A. (2014). Cannabinoids in oral fluid by on-site immunoassay and by GC-MS using two different oral fluid collection devices. Analytical and Bioanalytical Chemistry, 406(17), 4117–4128. doi: 10.1007/s00216-014-7813-9 CrossRefGoogle ScholarPubMed
Fabritius, M., Chtioui, H., Battistella, G., Annoni, J. M., Dao, K., Favrat, B., … Giroud, C. (2013). Comparison of cannabinoid concentrations in oral fluid and whole blood between occasional and regular cannabis smokers prior to and after smoking a cannabis joint. Analytical and Bioanalytical Chemistry, 405, 9791–9803.CrossRefGoogle ScholarPubMed
Giedd, J. N., Raznahan, A., Alexander-Bloch, A., Schmitt, E., Gogtay, N., & Rapoport, J. L. (2015). Child psychiatry branch of the National Institute of Mental Health longitudinal structural magnetic resonance imaging study of human brain development. Neuropsychopharmacology, 40(1), 43–49. doi: 10.1038/npp.2014.236 CrossRefGoogle ScholarPubMed
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., … Thompson, P. M. (2004). Dynamic mapping of human cortical development during childhood through early adulthood. PNAS, 101(21), 8174–8179.CrossRefGoogle ScholarPubMed
Goodwin, R. S., Darwin, W. D., Chiang, C. N., Shih, M., Li, S.-H., & Huestis, M. A. (2008). Urinary elimination of 11-nor-9-carboxy-delta9-tetrahydrocannnabinol in cannabis users during continuously monitored abstinence. Journal of Analytical Toxicology, 32(8), 562–569.CrossRefGoogle ScholarPubMed
Greene, N. Z., Wiley, J. L., Yu, Z., Clowers, B. H., & Craft, R. M. (2018). Cannabidiol modulation of antinociceptive tolerance to Delta(9)-tetrahydrocannabinol. Psychopharmacology (Berl), 235(11), 3289–3302. doi: 10.1007/s00213-018-5036-z CrossRefGoogle ScholarPubMed
Hanson, K. L., Medina, K. L., Padula, C. B., Tapert, S. F., & Brown, S. A. (2011). Impact of adolescent alcohol and drug use on neuropsychological functioning in young adulthood: 10-year outcomes. Journal of Child & Adolescent Substance Abuse, 20(2), 135–154. doi: 10.1080/1067828X.2011.555272 CrossRefGoogle ScholarPubMed
Hanson, K. L., Winward, J. L., Schweinsburg, A. D., Medina, K. L., Brown, S. A., & Tapert, S. F. (2010). Longitudinal study of cognition among adolescent marijuana users over three weeks of abstinence. Addictive Behaviors, 35(11), 970–976. doi: 10.1016/j.addbeh.2010.06.012 CrossRefGoogle ScholarPubMed
Harris, K. M., Griffin, B. A., McCaffrey, D. F., & Morral, A. R. (2008). Inconsistencies in self-reported drug use by adolescents in substance abuse treatment: implications for outcome and performance measurements. Journal of Substance Abuse Treatment, 34(3), 347–355. doi: 10.1016/j.jsat.2007.05.004 CrossRefGoogle ScholarPubMed
Hindocha, C., Freeman, T. P., Xia, J. X., Shaban, N. D. C., & Curran, H. V. (2017). Acute memory and psychotomimetic effects of cannabis and tobacco both ‘joint’ and individually: A placebo-controlled trial. Psychological Medicine, 47(15), 2708–2719. doi: 10.1017/S0033291717001222 CrossRefGoogle ScholarPubMed
Hirvonen, J., Goodwin, R. S., Li, C. T., Terry, G. E., Zoghbi, S. S., Morse, C., … Innis, R. B. (2012). Reversible and regionally selective downregulation of brain cannabinoid CB1 receptors in chronic daily cannabis smokers. Molecular Psychiatry, 17(6), 642–649. doi: 10.1038/mp.2011.82 CrossRefGoogle ScholarPubMed
Hryhorowicz, S., Walczak, M., Zakerska-Banaszak, O., Slomski, R., & Skrzypczak-Zielinska, M. (2018). Pharmacogenetics of cannabinoids. European Journal of Drug Metabolism and Pharmacokinetics, 43(1), 1–12. doi: 10.1007/s13318-017-0416-z CrossRefGoogle ScholarPubMed
Huestis, M. A. (2007). Human cannabinoid pharmacokinetics. Chemistry & Biodiversity, 4(8), 1770–1804. doi: 10.1002/cbdv.200790152 CrossRefGoogle ScholarPubMed
Huestis, M. A., Blount, B. C., Milan, D. F., Newmeyer, M. N., Schroeder, J., & Smith, M. L. (2019). Correlation of creatinine- and specific gravity-normalized free and glucuronidated urine cannabinoid concentrations following smoked, vaporized, and oral cannabis in frequent and occasional cannabis users. Drug Testing and Analysis, 11(7), 968–975. doi: 10.1002/dta.2576 CrossRefGoogle ScholarPubMed
Huestis, M. A., & Cone, E. J. (1998). Differentiating new marijuana use from residual drug excretion in occasional marijuana users. Journal of Analytical Toxicology, 22, 445–454.CrossRefGoogle ScholarPubMed
Huestis, M. A., & Smith, M. L. (2018). Cannabinoid markers in biological fluids and tissues: revealing intake. Trends in Molecular Medicine, 24(2), 156–172. doi: 10.1016/j.molmed.2017.12.006 CrossRefGoogle ScholarPubMed
Hurd, Y. L., Manzoni, O. J., Pletnikov, M. V., Lee, F. S., Bhattacharyya, S., & Melis, M. (2019). Cannabis and the developing brain: Insights into its long-lasting effects. Journal of Neuroscience, 39(42), 8250–8258. doi: 10.1523/JNEUROSCI.1165-19.2019 CrossRefGoogle ScholarPubMed
Jacobsen, L. K., Krystal, J. H., Mencl, W. E., Westerveld, M., Frost, S. J., & Pugh, K. R. (2005). Effects of smoking and smoking abstinence on cognition in adolescent tobacco smokers. Biological Psychiatry, 57(1), 56–66.CrossRefGoogle ScholarPubMed
Jacobus, J., Squeglia, L. M., Infante, M. A., Castro, N., Brumback, T., Meruelo, A. D., & Tapert, S. F. (2015). Neuropsychological performance in adolescent marijuana users with co-occurring alcohol use: A three-year longitudinal study. Neuropsychology, 29(6), 829–843. doi: 10.1037/neu0000203 CrossRefGoogle ScholarPubMed
Jacobus, J., Taylor, C. T., Gray, K. M., Meredith, L. R., Porter, A. M., Li, I., … Squeglia, L. M. (2018). A multi-site proof-of-concept investigation of computerized approach-avoidance training in adolescent cannabis users. Drug and Alcohol Dependence, 187, 195–204. doi: 10.1016/j.drugalcdep.2018.03.007 CrossRefGoogle ScholarPubMed
Johnston, L. D., Miech, R. A., O’Malley, P. M., Bachman, J. G., Schulenberg, J. E., & Patrick, M. E. (2020). Monitoring the Future National Survey Results on Drug Use, 1975–2019: Overview, Key Findings on Adolescent drug Use. Ann Arbor: Institute for Social Research.CrossRefGoogle Scholar
Kangiser, M. M., Lochner, A. M., Thomas, A. M., & Lisdahl, K. M. (2019). Gender moderates chronic nicotine cigarette effects on verbal memory in young adults. Substance Use & Misuse, 54(11), 1812–1824. doi: 10.1080/10826084.2019.1613432 CrossRefGoogle ScholarPubMed
Karoly, H. C., Schacht, J. P., Jacobus, J., Meredith, L. R., Taylor, C. T., Tapert, S. F., … Squeglia, L. M. (2019). Preliminary evidence that computerized approach avoidance training is not associated with changes in fMRI cannabis cue reactivity in non-treatment-seeking adolescent cannabis users. Drug and Alcohol Dependence, 200, 145–152.CrossRefGoogle Scholar
Karoly, H. C., Schacht, J. P., Meredith, L. R., Jacobus, J., Tapert, S. F., Gray, K. M., & Squeglia, L. M. (2019). Investigating a novel fMRI cannabis cue reactivity task in youth. Addictive Behaviors, 89, 20–28. doi: 10.1016/j.addbeh.2018.09.015 CrossRefGoogle ScholarPubMed
Karschner, E. L., Schwilke, E. W., Lowe, R. H., Darwin, W. D., Herning, R. I., Cadet, J. L., & Huestis, M. A. (2009). Implications of plasma δ9 -tetrahydrocannabinol, 11-hydroxyTHC, and 11-nor-9-Carboxy-THC concentrations in chronic cannabis smokers. Journal of Analytical Toxicology, 33(8), 469–477.CrossRefGoogle Scholar
Kulig, K. (2017). Interpretation of workplace tests for cannabinoids. Journal of Medical Toxicology, 13(1), 106–110. doi: 10.1007/s13181-016-0587-z CrossRefGoogle ScholarPubMed
Lisdahl, K. M., Wright, N. E., Kirchner-Medina, C., Maple, K. E., & Shollenbarger, S. (2014). Considering cannabis: The effects of regular cannabis use on neurocognition in adolescents and young adults. Current Addiction Reports, 1(2), 144–156. doi: 10.1007/s40429-014-0019-6 CrossRefGoogle ScholarPubMed
Lowe, R. H., Abraham, T. T., Darwin, W. D., Herning, R., Cadet, J. L., & Huestis, M. A. (2009). Extended urinary Delta9-tetrahydrocannabinol excretion in chronic cannabis users precludes use as a biomarker of new drug exposure. Drug and Alcohol Dependence, 105(1-2), 24–32. doi: 10.1016/j.drugalcdep.2009.05.027 CrossRefGoogle ScholarPubMed
Morgan, C. J., Gardener, C., Schafer, G., Swan, S., Demarchi, C., Freeman, T. P., … Curran, H. V. (2012). Sub-chronic impact of cannabinoids in street cannabis on cognition, psychotic-like symptoms and psychological well-being. Psychological Medicine, 42(2), 391–400. doi: 10.1017/S0033291711001322 CrossRefGoogle ScholarPubMed
Morgan, C. J., Schafer, G., Freeman, T. P., & Curran, H. V. (2010). Impact of cannabidiol on the acute memory and psychotomimetic effects of smoked cannabis: naturalistic study: naturalistic study [corrected]. British Journal of Psychiatry, 197(4), 285–290. doi: 10.1192/bjp.bp.110.077503 CrossRefGoogle Scholar
Murphy, S. M., & Rosenman, R. (2019). The “real” number of washington state adolescents using marijuana, and why: A misclassification analysis. Substance Use & Misuse, 54(1), 89–96. doi: 10.1080/10826084.2018.1496454 CrossRefGoogle ScholarPubMed
Musshoff, F., & Madea, B. (2006). Review of biologic matrices (urine, blood, hair) as indicators of recent or ongoing cannabis use. Therapeutic Drug Monitoring, 28(2), 155–163.CrossRefGoogle ScholarPubMed
Newmeyer, M. N., Swortwood, M. J., Taylor, M. E., Abulseoud, O. A., Woodward, T. H., & Huestis, M. A. (2017). Evaluation of divided attention psychophysical task performance and effects on pupil sizes following smoked, vaporized and oral cannabis administration. Journal of Applied Toxicology, 37(8), 922–932. doi: 10.1002/jat.3440 CrossRefGoogle ScholarPubMed
Nguyen-Louie, T. T., Castro, N., Matt, G. E., Squeglia, L. M., Brumback, T., & Tapert, S. F. (2015). Effects of emerging alcohol and marijuana use behaviors on adolescents’ neuropsychological functioning over four years. Journal of Studies on Alcohol and Drugs, 76, 738–748.CrossRefGoogle ScholarPubMed
Owens, M. M., McNally, S., Petker, T., Amlung, M. T., Balodis, I. M., Sweet, L. H., & MacKillop, J. (2019). Urinary tetrahydrocannabinol is associated with poorer working memory performance and alterations in associated brain activity. Neuropsychopharmacology, 44(3), 613–619. doi: 10.1038/s41386-018-0240-4 CrossRefGoogle ScholarPubMed
Pope, H. G., Gruber, A. J., Hudson, J. I., Huestis, M. A., & Yurgelun-Todd, D. (2001). Neuropsychological performance in long-term cannabis users. Archives of General Psychiatry, 58, 909–915.CrossRefGoogle ScholarPubMed
Potter, D. J., Hammond, K., Tuffnell, S., Walker, C., & Di Forti, M. (2018). Potency of Delta(9)-tetrahydrocannabinol and other cannabinoids in cannabis in England in 2016: Implications for public health and pharmacology. Drug Testing and Analysis, 10(4), 628–635. doi: 10.1002/dta.2368 CrossRefGoogle ScholarPubMed
Ramo, D. E., Liu, H., & Prochaska, J. J. (2012). Tobacco and marijuana use among adolescents and young adults: A systematic review of their co-use. Clinical Psychology Review, 32(2), 105–121. doi: 10.1016/j.cpr.2011.12.002 CrossRefGoogle Scholar
Redwood Laboratory (2020). Laboratory testing cutoffs & methods.Google Scholar
Schlienz, N. J., Cone, E. J., Herrmann, E. S., Lembeck, N. A., Mitchell, J. M., Bigelow, G. E., … Vandrey, R. (2018). Pharmacokinetic characterization of 11-nor-9-carboxy-delta9-tetrahydrocannabinol in urine following acute oral cannabis ingestion in healthy adults. Journal of Analytical Toxicology, 42(4), 232–247. doi: 10.1093/jat/bkx102 CrossRefGoogle ScholarPubMed
Schmidt, M. (1996). Rey Auditory Verbal Learning Test: A handbook. Los Angeles, CA: Western Psychological Service.Google Scholar
Schneider, M. (2008). Puberty as a highly vulnerable developmental period for the consequences of cannabis exposure. Addiction Biology, 13(2), 253–263. doi: 10.1111/j.1369-1600.2008.00110.x CrossRefGoogle ScholarPubMed
Schulenberg, J. E., Johnston, L. D., O’Malley, P. M., Bachman, J. G., Miech, R. A., & Patrick, M. E. (2019). Monitoring the Future national survey results on drug use, 1975–2018: Volume II, College students and adults ages 19–60. Retrieved from Ann Arbor, MI:CrossRefGoogle Scholar
Schuster, R. M., Crane, N. A., Mermelstein, R., & Gonzalez, R. (2015). Tobacco may mask poorer episodic memory among young adult cannabis users. Neuropsychology, 29(5), 759–766. doi: 10.1037/neu0000173 CrossRefGoogle ScholarPubMed
Schuster, R. M., Gilman, J., Schoenfeld, D., Evenden, J., Hareli, M., Ulysse, C., … Evins, A. E. (2018). One month of cannabis abstinence in adolescents and young adults is associated with improved memory. Journal of Clinical Psychiatry, 79(6), 17m11977. doi: 10.4088/JCP.17m11977 Google Scholar
Schuster, R. M., Potter, K., Vandrey, R., Hareli, M., Gilman, J., Schoenfeld, D., & Evins, A. E. (2020). Urinary 11-nor-9-carboxy-tetrahydrocannabinol elimination in adolescent and young adult cannabis users during one month of sustained and biochemically-verified abstinence. Journal of Psychopharmacology, 34(2), 197–210. doi: 10.1177/0269881119872206 CrossRefGoogle Scholar
Scott, J. C., Slomiak, S. T., Jones, J. D., Rosen, A. F. G., Moore, T. M., & Gur, R. C. (2018). Association of cannabis with cognitive functioning in adolescents and young adults: A systematic review and meta-analysis. JAMA Psychiatry, 75(6), 585–595. doi: 10.1001/jamapsychiatry.2018.0335 CrossRefGoogle Scholar
Sharma, P., Murthy, P., & Bharath, M. M. S. (2012). Chemistry, metabolism, and toxicology of cannabis: Clinical implications. Iranian Journal of Psychiatry, 7(4), 149–156.Google ScholarPubMed
Smith, M. J., Alden, E. C., Herrold, A. D., Roberts, A., Stern, D., Jones, J., … Breiter, H. C. (2018). Recent self-reported cannabis use is associated with the biometrics of delta-9-tetrahydrocannabinol. Journal of Studies on Alcohol and Drugs, 79, 441–446.CrossRefGoogle ScholarPubMed
Solowij, N., Jones, K. A., Rozman, M. E., Davis, S. M., Ciarrochi, J., Heaven, P. C., … Yucel, M. (2011). Verbal learning and memory in adolescent cannabis users, alcohol users and non-users. Psychopharmacology (Berl), 216(1), 131–144. doi: 10.1007/s00213-011-2203-x CrossRefGoogle ScholarPubMed
Spear, L. P. (2018). Effects of adolescent alcohol consumption on the brain and behaviour. Nature Reviews Neuroscience, 19(4), 197–214. doi: 10.1038/nrn.2018.10 CrossRefGoogle ScholarPubMed
Spindle, T. R., Cone, E. J., Schlienz, N. J., Mitchell, J. M., Bigelow, G. E., Flegel, R., … Vandrey, R. (2018). Acute effects of smoked and vaporized cannabis in healthy adults who infrequently use cannabis: A crossover trial. JAMA Network Open, 1(7), e184841. doi: 10.1001/jamanetworkopen.2018.4841 CrossRefGoogle ScholarPubMed
Spindle, T. R., Cone, E. J., Schlienz, N. J., Mitchell, J. M., Bigelow, G. E., Flegel, R., … Vandrey, R. (2019). Acute pharmacokinetic profile of smoked and vaporized cannabis in human blood and oral fluid. Journal of Analytical Toxicology, 43(4), 233–258. doi: 10.1093/jat/bky104 CrossRefGoogle ScholarPubMed
Stout, S. M., & Cimino, N. M. (2014). Exogenous cannabinoids as substrates, inhibitors, and inducers of human drug metabolizing enzymes: A systematic review. Drug Metabolism Reviews, 46(1), 86–95. doi: 10.3109/03602532.2013.849268 CrossRefGoogle ScholarPubMed
Strauss, E., Sherman, E. M. S., & Spreen, O. (2006). A Compendium of Neuropsychological Tests (3rd ed.). New York: Oxford University Press.Google Scholar
Tomko, R. L., Baker, N. L., McClure, E. A., Sonne, S. C., McRae-Clark, A. L., Sherman, B. J., & Gray, K. M. (2018). Incremental validity of estimated cannabis grams as a predictor of problems and cannabinoid biomarkers: Evidence from a clinical trial. Drug and Alcohol Dependence, 182, 1–7. doi: 10.1016/j.drugalcdep.2017.09.035 CrossRefGoogle ScholarPubMed
Vajravelu, H. R., Gnanadurai, T. K., Krishnan, P., & Ayyavoo, S. (2015). Impact of quantified smoking status on cognition in young adults. Journal of Clinical and Diagnostic Research, 9(12), CC01–CC03. doi: 10.7860/JCDR/2015/16444.6867 Google ScholarPubMed
Wallace, A. L., Wade, N. E., & Lisdahl, K. M. (2020). Impact of two-weeks of monitored abstinence on cognition in adolescent and young adult cannabis users. Journal of the International Neuropsychological Society, 26(8), 776–784.CrossRefGoogle Scholar
Wille, S.M., Samyn, N., Del Mar Ramirez Fernandez, M., & De Boeck, G. (2010). Evaluation of on-site oral fluid screening using Drugwipe-5(+), RapidSTAT and Drug Test 5000 for the detection of drugs of abuse in drivers. Forensic Science International, 198, 2–6.CrossRefGoogle Scholar
Williams, R. J., & Nowatzki, N. (2009). Validity of adolescent self-report of substance use. Substance Use & Misuse, 40(3), 299–311. doi: 10.1081/ja-200049327 CrossRefGoogle Scholar
Yuan, M., Cross, S. J., Loughlin, S. E., & Leslie, F. M. (2015). Nicotine and the adolescent brain. Journal of Physiology, 593(16), 3397–3412. doi: 10.1113/JP270492 CrossRefGoogle ScholarPubMed