Research Article
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Year 2024, Volume: 73 Issue: 2, 496 - 516, 21.06.2024
https://doi.org/10.31801/cfsuasmas.1341103

Abstract

References

  • Virginia,va,us, data, retrieved from https://www.samhsa.gov/data/report/virginia-va, 2014.
  • USA, data, https://www.census.gov/, 2020.
  • Alcohol-related death in virginia, 2016–2020, Rep., Virginia Department of Health, Richmond, VA, 2022.
  • NIDA: National institute of drug abuse, data, 2022.
  • CDC: Excessive alcohol use, https://www.cdc.gov/chronicdisease/resources/publications/, 2023.
  • Impact on alcohol use in human health and well-being, 2023.
  • Abiodun, O. E., Adebimpe, O., Ndako, J. A., Oludoun, O., Aladeitan, B., Adeniyi, M., Mathematical modeling of hiv-hcv co-infection model: Impact of parameters on reproduction number, F1000Research, 11 (2022), 1153. https://dx.doi.org/10.12688/f1000research.124555.2
  • Akanni, J. O., Adediipo, D. A., Kehinde, O. O., Ayanrinola, O. W., Adeyemo, O. A., Mathematical modelling of the co-dynamics of illicit drug use and terrorism, Inform. Sci. Lett, 11 (2022), 559–572. https://dx.doi.org/10.18576/isl/110224
  • Badurally Adam, N.-R., Dauhoo, M. Z., Kavian, O., An analysis of the dynamical evolution of experimental, recreative and abusive marijuana consumption in the states of Colorado and Washington beyond the implementation of i–502, The Journal of Mathematical Sociology, 39 (4) (2015), 257–279. https://dx.doi.org/10.1080/0022250X.2015.1077240
  • Beckmeyer, J. J., Weybright, E. H., Perceptions of alcohol use by friends compared to peers: Associations with middle adolescents’ own use, Substance Abuse, 37 (3) (2016), 435–440. https://dx.doi.org/10.1080/08897077.2015.1134754
  • Burggren, A. C., Shirazi, A., Ginder, N., London, E. D., Cannabis effects on brain structure, function, and cognition: considerations for medical uses of cannabis and its derivatives, The American Journal of Drug and Alcohol Abuse, 45 (6) (2019), 563–579. https://dx.doi.org/10.1080/00952990.2019.1634086
  • Carvalho, A. F., Heilig, M., Perez, A., Probst, C., Rehm, J., Alcohol use disorders, The Lancet, 394 (10200) (2019), 781–792. https://dx.doi.org/10.1016/S0140-6736(19)31775-1
  • Chapwanya, M., Lubuma, J. M.-S., Lutermann, H., Matusse, A., Nyabadza, F., Terefe, Y., A mathematical model for the cannabis epidemic in a South African province with a non-linear incidence rate, Journal of Statistics and Management Systems, 24 (8) (2021), 1627–1647. https://dx.doi.org/10.1080/09720510.2020.1843274
  • Chen, B. T., Yau, H.-J., Hatch, C., Kusumoto-Yoshida, I., Cho, S. L., Hopf, F. W., Bonci, A., Rescuing cocaine-induced prefrontal cortex hypoactivity prevents compulsive cocaine seeking, Nature, 496 (7445) (2013), 359–362. https://dx.doi.org/10.1038/nature12024
  • Christakis, N. A., Fowler, J. H., Social contagion theory: examining dynamic social networks and human behavior, Statistics in Medicine, 32 (4) (2013), 556–577. https://dx.doi.org/10.1111/add.15751
  • Costardi, J. V. V., Nampo, R. A. T., A review on alcohol: from the central action mechanism to chemical dependency, NIH Pub Med, (2015), 26466222. DOI: 10.1590/1806-9282.61.04.381
  • Galindo, R., Zamudio, P. A., Valenzuela, C. F., Alcohol is a potent stimulant of immature neuronal networks: implications for fetal alcohol spectrum disorder, Journal of Neurochemistry, 94 (6) (2005), 1500–1511. https://dx.doi.org/10.1111/j.1471-4159.2005.03294.x
  • Geissler, K. H., Kaizer, K., Johnson, J. K., Doonan, S. M., Whitehill, J. M., Evaluation of availability of survey data about cannabis use, JAMA Network Open, 3 (6) (2020), e206039–e206039. https://dx.doi.org/10.1001/jamanetworkopen.2020.6039
  • Hasin, D., Risk factors: Varied vulnerability to alcohol-related harm, NIH: NIAAA Core resource on Alcohol (2023).
  • Hingson R, Zha W, S. D., Magnitude and trends in heavy episodic drinking, alcohol-impaired driving, and alcohol-related mortality and overdose hospitalizations among emerging adults of college ages 18–24 in the United States, 1998-2014, PubMed PMID: 28728636 Stud Alcohol Drugs., 78(4) (2017), 540–9. https://dx.doi.org/10.15288/jsad.2017.78.540
  • Kabisa, E., Biracyaza, E., Habagusenga, J. d., Umubyeyi, A., Determinants and prevalence of relapse among patients with substance use disorders: case of icyizere psychotherapeutic centre, Substance Abuse Treatment, Prevention, and Policy, 16 (1) (2021), 1–12. https://dx.doi.org/10.1186/s13011-021-00347-0
  • Kranzler, H. R., Soyka, M., Diagnosis and pharmacotherapy of alcohol use disorder: a review, Jama, 320 (8) (2018), 815–824. https://dx.doi.org/10.1001/jama.2018.11406
  • Kringelbach, M. L., Berridge, K. C., The functional neuroanatomy of pleasure and happiness, Discovery Medicine, 9 (49) (2010), 579.
  • Miller, W. R., Walters, S. T., Bennett, M. E., How effective is alcoholism treatment in the United States?, Journal of Studies on Alcohol, 62 (2) (2001), 211–220. https://dx.doi.org/10.15288/jsa.2001.62.211
  • Mubayi, A., Greenwood, P. E., Contextual interventions for controlling alcohol drinking, Mathematical Population Studies, 20 (1) (2013), 27–53. https://dx.doi.org/10.1080/08898480.2013.748588
  • Orwa, T., Nyabadza, F., Mathematical modelling and analysis of alcohol-methamphetamine co-abuse in the Western Cape Province of South Africa, Cogent Mathematics & Statistics, 6 (1) (2019), 1641175. https://dx.doi.org/10.1080/25742558.2019.1641175
  • Sanchez, F., Wang, X., Castillo-Chavez, C., Gorman, D. M., Gruenewald, P. J., Drinking as an epidemic—a simple mathematical model with recovery and relapse, In Therapist’s Guide to Evidence-Based Relapse Prevention, Elsevier, 2007, pp. 353–368. https://dx.doi.org/10.1016/B978-012369429-4/50046-X
  • Schuler, M. S., Tucker, J. S., Pedersen, E. R., D’Amico, E. J., Relative influence of perceived peer and family substance use on adolescent alcohol, cigarette, and marijuana use across middle and high school, Addictive Behaviors, 88 (2019), 99–105. https://dx.doi.org/10.1016/j.addbeh.2018.08.025
  • Sharma, S., Samanta, G., Analysis of a drinking epidemic model, International Journal of Dynamics and Control, 3 (3) (2015), 288–305. https://dx.doi.org/10.1007/s40435-015-0151-8
  • Tulshi D. Saha, B. F. G., Concurrent use of alcohol with other drugs and dsm-5 alcohol use disorder comorbid with other drug use disorders: Sociodemographic characteristics, severity, and psychopathology, Drug and Alcohol Dependence, Elsevier, 187 (2018), 261–269.
  • Van den Driessche, P., Watmough, J., Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, Mathematical Biosciences, 180 (1-2) (2002), 29–48. https://dx.doi.org/10.1016/s0025-5564(02)00108-6
  • Weiss, S. R., Volkow, N. D., Coordinating cannabis data collection globally: Policy implications, Addiction (Abingdon, England), 117 (6) (2022), 1520. https://dx.doi.org/10.1111/add.15751
  • Yu, B., Chen, X., Chen, X., Yan, H., Marijuana legalization and historical trends in marijuana use among us residents aged 12–25: results from the 1979–2016 national survey on drug use and health, BMC Public Health, 20 (2020), 1–10. https://dx.doi.org/10.1186/s12889-020-8253-4

Mathematical model for the dynamics of alcohol-marijuana co-abuse

Year 2024, Volume: 73 Issue: 2, 496 - 516, 21.06.2024
https://doi.org/10.31801/cfsuasmas.1341103

Abstract

A mathematical model for the dynamics of alcohol-marijuana coabuse is presented in this work. In the past years legalization of recreational marijuana in several states in the United States has added a new layer to alcohol addiction. Much research has been done for alcohol addiction or drug abuse independently, but few include the incidence of marijuana use for alcohol users. A compartmental epidemiological model is used, and results such as the existence and boundedness of solutions, the basic reproduction number using the next-generation method, the disease-free equilibrium, and an analytical expression for the endemic equilibrium are included. Numerical simulations with parameters obtained from data in the United States are performed for different compartments of the population as well as the reproduction number for the alcohol and marijuana sub-models. The model can be adapted for different regions worldwide using appropriate data. This work contributes to understanding the dynamics of the co-abuse of addictive substances. Even though alcohol and marijuana are both legal, they can be of great harm to the brain of the individual when combined, having tremendous consequences for society as a whole. Creating awareness of a public health concern with facts based on scientific research is the ultimate goal of this work.

References

  • Virginia,va,us, data, retrieved from https://www.samhsa.gov/data/report/virginia-va, 2014.
  • USA, data, https://www.census.gov/, 2020.
  • Alcohol-related death in virginia, 2016–2020, Rep., Virginia Department of Health, Richmond, VA, 2022.
  • NIDA: National institute of drug abuse, data, 2022.
  • CDC: Excessive alcohol use, https://www.cdc.gov/chronicdisease/resources/publications/, 2023.
  • Impact on alcohol use in human health and well-being, 2023.
  • Abiodun, O. E., Adebimpe, O., Ndako, J. A., Oludoun, O., Aladeitan, B., Adeniyi, M., Mathematical modeling of hiv-hcv co-infection model: Impact of parameters on reproduction number, F1000Research, 11 (2022), 1153. https://dx.doi.org/10.12688/f1000research.124555.2
  • Akanni, J. O., Adediipo, D. A., Kehinde, O. O., Ayanrinola, O. W., Adeyemo, O. A., Mathematical modelling of the co-dynamics of illicit drug use and terrorism, Inform. Sci. Lett, 11 (2022), 559–572. https://dx.doi.org/10.18576/isl/110224
  • Badurally Adam, N.-R., Dauhoo, M. Z., Kavian, O., An analysis of the dynamical evolution of experimental, recreative and abusive marijuana consumption in the states of Colorado and Washington beyond the implementation of i–502, The Journal of Mathematical Sociology, 39 (4) (2015), 257–279. https://dx.doi.org/10.1080/0022250X.2015.1077240
  • Beckmeyer, J. J., Weybright, E. H., Perceptions of alcohol use by friends compared to peers: Associations with middle adolescents’ own use, Substance Abuse, 37 (3) (2016), 435–440. https://dx.doi.org/10.1080/08897077.2015.1134754
  • Burggren, A. C., Shirazi, A., Ginder, N., London, E. D., Cannabis effects on brain structure, function, and cognition: considerations for medical uses of cannabis and its derivatives, The American Journal of Drug and Alcohol Abuse, 45 (6) (2019), 563–579. https://dx.doi.org/10.1080/00952990.2019.1634086
  • Carvalho, A. F., Heilig, M., Perez, A., Probst, C., Rehm, J., Alcohol use disorders, The Lancet, 394 (10200) (2019), 781–792. https://dx.doi.org/10.1016/S0140-6736(19)31775-1
  • Chapwanya, M., Lubuma, J. M.-S., Lutermann, H., Matusse, A., Nyabadza, F., Terefe, Y., A mathematical model for the cannabis epidemic in a South African province with a non-linear incidence rate, Journal of Statistics and Management Systems, 24 (8) (2021), 1627–1647. https://dx.doi.org/10.1080/09720510.2020.1843274
  • Chen, B. T., Yau, H.-J., Hatch, C., Kusumoto-Yoshida, I., Cho, S. L., Hopf, F. W., Bonci, A., Rescuing cocaine-induced prefrontal cortex hypoactivity prevents compulsive cocaine seeking, Nature, 496 (7445) (2013), 359–362. https://dx.doi.org/10.1038/nature12024
  • Christakis, N. A., Fowler, J. H., Social contagion theory: examining dynamic social networks and human behavior, Statistics in Medicine, 32 (4) (2013), 556–577. https://dx.doi.org/10.1111/add.15751
  • Costardi, J. V. V., Nampo, R. A. T., A review on alcohol: from the central action mechanism to chemical dependency, NIH Pub Med, (2015), 26466222. DOI: 10.1590/1806-9282.61.04.381
  • Galindo, R., Zamudio, P. A., Valenzuela, C. F., Alcohol is a potent stimulant of immature neuronal networks: implications for fetal alcohol spectrum disorder, Journal of Neurochemistry, 94 (6) (2005), 1500–1511. https://dx.doi.org/10.1111/j.1471-4159.2005.03294.x
  • Geissler, K. H., Kaizer, K., Johnson, J. K., Doonan, S. M., Whitehill, J. M., Evaluation of availability of survey data about cannabis use, JAMA Network Open, 3 (6) (2020), e206039–e206039. https://dx.doi.org/10.1001/jamanetworkopen.2020.6039
  • Hasin, D., Risk factors: Varied vulnerability to alcohol-related harm, NIH: NIAAA Core resource on Alcohol (2023).
  • Hingson R, Zha W, S. D., Magnitude and trends in heavy episodic drinking, alcohol-impaired driving, and alcohol-related mortality and overdose hospitalizations among emerging adults of college ages 18–24 in the United States, 1998-2014, PubMed PMID: 28728636 Stud Alcohol Drugs., 78(4) (2017), 540–9. https://dx.doi.org/10.15288/jsad.2017.78.540
  • Kabisa, E., Biracyaza, E., Habagusenga, J. d., Umubyeyi, A., Determinants and prevalence of relapse among patients with substance use disorders: case of icyizere psychotherapeutic centre, Substance Abuse Treatment, Prevention, and Policy, 16 (1) (2021), 1–12. https://dx.doi.org/10.1186/s13011-021-00347-0
  • Kranzler, H. R., Soyka, M., Diagnosis and pharmacotherapy of alcohol use disorder: a review, Jama, 320 (8) (2018), 815–824. https://dx.doi.org/10.1001/jama.2018.11406
  • Kringelbach, M. L., Berridge, K. C., The functional neuroanatomy of pleasure and happiness, Discovery Medicine, 9 (49) (2010), 579.
  • Miller, W. R., Walters, S. T., Bennett, M. E., How effective is alcoholism treatment in the United States?, Journal of Studies on Alcohol, 62 (2) (2001), 211–220. https://dx.doi.org/10.15288/jsa.2001.62.211
  • Mubayi, A., Greenwood, P. E., Contextual interventions for controlling alcohol drinking, Mathematical Population Studies, 20 (1) (2013), 27–53. https://dx.doi.org/10.1080/08898480.2013.748588
  • Orwa, T., Nyabadza, F., Mathematical modelling and analysis of alcohol-methamphetamine co-abuse in the Western Cape Province of South Africa, Cogent Mathematics & Statistics, 6 (1) (2019), 1641175. https://dx.doi.org/10.1080/25742558.2019.1641175
  • Sanchez, F., Wang, X., Castillo-Chavez, C., Gorman, D. M., Gruenewald, P. J., Drinking as an epidemic—a simple mathematical model with recovery and relapse, In Therapist’s Guide to Evidence-Based Relapse Prevention, Elsevier, 2007, pp. 353–368. https://dx.doi.org/10.1016/B978-012369429-4/50046-X
  • Schuler, M. S., Tucker, J. S., Pedersen, E. R., D’Amico, E. J., Relative influence of perceived peer and family substance use on adolescent alcohol, cigarette, and marijuana use across middle and high school, Addictive Behaviors, 88 (2019), 99–105. https://dx.doi.org/10.1016/j.addbeh.2018.08.025
  • Sharma, S., Samanta, G., Analysis of a drinking epidemic model, International Journal of Dynamics and Control, 3 (3) (2015), 288–305. https://dx.doi.org/10.1007/s40435-015-0151-8
  • Tulshi D. Saha, B. F. G., Concurrent use of alcohol with other drugs and dsm-5 alcohol use disorder comorbid with other drug use disorders: Sociodemographic characteristics, severity, and psychopathology, Drug and Alcohol Dependence, Elsevier, 187 (2018), 261–269.
  • Van den Driessche, P., Watmough, J., Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission, Mathematical Biosciences, 180 (1-2) (2002), 29–48. https://dx.doi.org/10.1016/s0025-5564(02)00108-6
  • Weiss, S. R., Volkow, N. D., Coordinating cannabis data collection globally: Policy implications, Addiction (Abingdon, England), 117 (6) (2022), 1520. https://dx.doi.org/10.1111/add.15751
  • Yu, B., Chen, X., Chen, X., Yan, H., Marijuana legalization and historical trends in marijuana use among us residents aged 12–25: results from the 1979–2016 national survey on drug use and health, BMC Public Health, 20 (2020), 1–10. https://dx.doi.org/10.1186/s12889-020-8253-4
There are 33 citations in total.

Details

Primary Language English
Subjects Dynamical Systems in Applications
Journal Section Research Articles
Authors

Ana Vivas This is me 0009-0008-8145-3605

James Tipton 0000-0002-4291-5984

Sujan Pant This is me 0009-0002-4928-4860

Anne Fernando 0009-0008-6873-6512

Publication Date June 21, 2024
Submission Date August 17, 2023
Acceptance Date March 4, 2024
Published in Issue Year 2024 Volume: 73 Issue: 2

Cite

APA Vivas, A., Tipton, J., Pant, S., Fernando, A. (2024). Mathematical model for the dynamics of alcohol-marijuana co-abuse. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, 73(2), 496-516. https://doi.org/10.31801/cfsuasmas.1341103
AMA Vivas A, Tipton J, Pant S, Fernando A. Mathematical model for the dynamics of alcohol-marijuana co-abuse. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. June 2024;73(2):496-516. doi:10.31801/cfsuasmas.1341103
Chicago Vivas, Ana, James Tipton, Sujan Pant, and Anne Fernando. “Mathematical Model for the Dynamics of Alcohol-Marijuana Co-Abuse”. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 73, no. 2 (June 2024): 496-516. https://doi.org/10.31801/cfsuasmas.1341103.
EndNote Vivas A, Tipton J, Pant S, Fernando A (June 1, 2024) Mathematical model for the dynamics of alcohol-marijuana co-abuse. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 73 2 496–516.
IEEE A. Vivas, J. Tipton, S. Pant, and A. Fernando, “Mathematical model for the dynamics of alcohol-marijuana co-abuse”, Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat., vol. 73, no. 2, pp. 496–516, 2024, doi: 10.31801/cfsuasmas.1341103.
ISNAD Vivas, Ana et al. “Mathematical Model for the Dynamics of Alcohol-Marijuana Co-Abuse”. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 73/2 (June 2024), 496-516. https://doi.org/10.31801/cfsuasmas.1341103.
JAMA Vivas A, Tipton J, Pant S, Fernando A. Mathematical model for the dynamics of alcohol-marijuana co-abuse. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. 2024;73:496–516.
MLA Vivas, Ana et al. “Mathematical Model for the Dynamics of Alcohol-Marijuana Co-Abuse”. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, vol. 73, no. 2, 2024, pp. 496-1, doi:10.31801/cfsuasmas.1341103.
Vancouver Vivas A, Tipton J, Pant S, Fernando A. Mathematical model for the dynamics of alcohol-marijuana co-abuse. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. 2024;73(2):496-51.

Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics.

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