Submitted:
10 May 2023
Posted:
11 May 2023
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Abstract
Keywords:
Introduction
Materials and Methods
Results
Discussion
Conclusions
Funding
Acknowledgments
Conflicts of Interest
Declaration
References
- Moore, T.J.; Wirtz, P.W.; Kruszewski, S.P.; Alexander, G.C. Changes in medical use of central nervous system stimulants among US adults, 2013 and 2018: A cross-sectional study. BMJ Open. 2021, 11, e048528. [Google Scholar] [CrossRef] [PubMed]
- Schepis, T.S.; McCabe, S.E. Trends in older adult nonmedical prescription drug use prevalence: Results from the 2002-2003 and 2012-2013 National Survey on Drug Use and Health. Addict Behav. 2016, 60, 219–222. [Google Scholar] [CrossRef] [PubMed]
- Cortese, S.; Adamo, N.; Del Giovane, C.; Mohr-Jensen, C.; Hayes, A.J.; Carucci, S.; Atkinson, L.Z.; Tessari, L.; Banaschewski, T.; Coghill, D.; et al. Comparative efficacy and tolerability of medications for attention-deficit hyperactivity disorder in children, adolescents, and adults: A systematic review and network meta-analysis. Lancet Psychiatry 2018, 5, 727–738. [Google Scholar] [CrossRef] [PubMed]
- Stuhec, M.; Lukić, P.; Locatelli, I. Efficacy, Acceptability, and tolerability of lisdexamphetamine, mixed amphetamine salts, methylphenidate, and modafinil in the treatment of attention-deficit hyperactivity disorder in adults: A systematic review and meta-analysis. Ann Pharmacother. 2019, 53, 121–133. [Google Scholar] [CrossRef] [PubMed]
- Thorpy, M.J.; Bogan, R.K. Update on the pharmacologic management of narcolepsy: Mechanisms of action and clinical implications. Sleep Med. 2020, 68, 97–109. [Google Scholar] [CrossRef]
- Elliott, J.; Johnston, A.; Husereau, D.; Kelly, S.E.; Eagles, C.; Charach, A.; Hsieh, S.C.; Bai, Z.; Hossain, A.; Skidmore, B.; Tsakonas, E.; Chojecki, D.; Mamdani, M.; Wells, G.A. Pharmacologic treatment of attention deficit hyperactivity disorder in adults: A systematic review and network meta-analysis. PLoS ONE. 2020, 15, e0240584. [Google Scholar] [CrossRef]
- Mechler, K.; Banaschewski, T.; Hohmann, S.; Häge, A. Evidence-based pharmacological treatment options for attention deficit hyperactivity disorder in children and adolescents. Pharmacol Ther. 2022, 230, 107940. [Google Scholar] [CrossRef]
- Sassi, K.L.M.; Rocha, N.P.; Colpo, G.D.; John, V.; Teixeira, A.L. Amphetamine use in the elderly: A systematic review of the literature. Curr Neuropharmacol. 2020, 18, 126–135. [Google Scholar] [CrossRef]
- Castells, X.; Blanco-Silvente, L.; Cunill, R. Amphetamine for attention deficit hyperactivity disorder (ADHD) in adults. Cochrane Database Syst Rev. 2018, 8, CD007813. [Google Scholar] [CrossRef]
- Cândido, R.C.F.; Menezes de Padua, C.A.; Golder, S.; Junqueira, D.R. Immediate-release methylphenidate for attention deficit hyperactivity disorder (ADHD) in adults. Cochrane Database Syst Rev. 2021, 1, CD013011. [Google Scholar] [CrossRef]
- Steinkellner, T.; Freissmuth, M.; Sitte, H.H.; Montgomery, T. The ugly side of amphetamine: Short- and long-term toxicity of 3,4-methylenedioxymethamphetamine (MDMA, ‘Ecstasy’), methamphetamine and D-amphetamine. Biol. Chem. 2011, 392, 103–115. [Google Scholar] [CrossRef] [PubMed]
- Torres-Acosta, N.; O'Keefe, J.H.; O'Keefe, C.L.; Lavie, C.J. Cardiovascular effects of ADHD therapies: JACC review topic of the week. J Am Coll Cardiol. 2020, 76, 858–866. [Google Scholar] [CrossRef] [PubMed]
- Tadrous, M.; Shakeri, A.; Chu, C.; Watt, J.; Mamdani, M.M.; Juurlink, D.N.; Gomes, T. Assessment of Stimulant Use and Cardiovascular Event Risks Among Older Adults [published correction appears in JAMA Netw Open. 2021, 4, e2138512]. JAMA Netw Open. 2021, 4, e2130795. [Google Scholar] [CrossRef] [PubMed]
- Liao, S. Why are ADHD medicines controlled substances? 2017. https://www.webmd.com/add-adhd/features/adhd-medicines-controlled-substances#:~:text=The%20majority%20of%20ADHD%20stimulant,risk%20of%20abuse%20and%20dependence.
- Shellenberg, T.P.; Stoops, W.W.; Lile, J.A.; Rush, C.R. An update on the clinical pharmacology of methylphenidate: Therapeutic efficacy, abuse potential and future considerations. Expert Rev Clin Pharmacol. 2020, 13, 825–833. [Google Scholar] [CrossRef] [PubMed]
- Weyandt, L.L.; Oster, D.R.; Marraccini, M.E.; Gudmundsdottir, B.G.; Munro, B.A.; Rathkey, E.S.; McCallum, A. Prescription stimulant medication misuse: Where are we and where do we go from here? Exp Clin Psychopharmacol. 2016, 24, 400–414. [Google Scholar] [CrossRef] [PubMed]
- Department of Justice/Drug Enforcement Agency. Drug fact sheet: Amphetamine. 2020. https://www.dea.gov/sites/default/files/2020-06/Amphetamine-2020_0.pdf.
- Thurn, D.; Riedner, A.; Wolstein, J. Use motives of patients with amphetamine-type stimulants use disorder and attention-deficit/hyperactivity disorder. Eur Addict Res. 2020, 26, 254–262. [Google Scholar] [CrossRef]
- Clemow, D.B.; Walker, D.J. The potential for misuse and abuse of medications in ADHD: A review. Postgrad Med. 2014, 126, 64–81. [Google Scholar] [CrossRef]
- Winkelman, T.N.A.; Admon, L.K.; Jennings, L.; Shippee, N.D.; Richardson, C.R.; Bart, G. Evaluation of amphetamine-related hospitalizations and associated clinical outcomes and costs in the United States. JAMA Netw Open. 2018, 1, e183758. [Google Scholar] [CrossRef]
- Faraone, S.V.; Hess, J.; Wilens, T. Prevalence and consequences of the nonmedical use of amphetamine among persons calling poison control centers. J Atten Disord. 2019, 23, 1219–1228. [Google Scholar] [CrossRef]
- Wong, S.H.M.; Stevens, C.; Liu, C.H.; Chen, J.A. Prevalence and correlates of prescription stimulant misuse among US college students: Results from a national survey. J Clin Psychiatry. 2022, 84, 22m14420. [Google Scholar] [CrossRef]
- Sepúlveda, D.R.; Thomas, L.M.; McCabe, S.E.; Cranford, J.A.; Boyd, C.J.; Teter, C.J. Misuse of prescribed stimulant medication for ADHD and associated patterns of substance use: Preliminary analysis among college students. J Pharm Pract. 2011, 24, 551–560. [Google Scholar] [CrossRef] [PubMed]
- Clemow, D.B. Misuse of methylphenidate. Curr Top Behav Neurosci. 2017, 34, 99–124. [Google Scholar] [CrossRef] [PubMed]
- Ramachandran, S.; Dertien, D.; Bentley, S.I. Prevalence of ADHD symptom malingering, nonmedical use, and drug diversion among college-enrolled adults with a prescription for stimulant medications. J Addict Dis. 2020, 38, 176–185. [Google Scholar] [CrossRef] [PubMed]
- Chawarski, M.C.; Hawk, K.; Edelman, E.J.; O'Connor, P.; Owens, P.; Martel, S.; Coupet E., Jr.; Whiteside, L.; Tsui, J.I.; Rothman, R.; Cowan, E.; Richardson, L.; Lyons, M.S.; Fiellin, D.A.; D'Onofrio, G. Use of amphetamine-type stimulants among emergency department patients with untreated opioid use disorder. Ann Emerg Med. 2020, 76, 782–787. [Google Scholar] [CrossRef] [PubMed]
- Mattson, M.E. Emergency department visits involving attention deficit/hyperactivity disorder stimulant medications. In: The CBHSQ Report. Rockville (MD): Substance Abuse and Mental Health Services Administration (US); January 24, 2013.1-8.
- Compton, W.M.; Han, B.; Blanco, C.; Johnson, K.; Jones, C.M. Prevalence and correlates of prescription stimulant use, misuse, use disorders, and motivations for misuse among adults in the United States. Am J Psychiatry. 2018, 175, 741–755. [Google Scholar] [CrossRef] [PubMed]
- Shearer, R.D.; Jones, A.; Howell, B.A.; Segel, J.E.; Winkelman, T.N.A. Associations between prescription and illicit stimulant and opioid use in the United States, 2015-2020. J Subst Abuse Treat. 2022, 143, 108894. [Google Scholar] [CrossRef] [PubMed]
- Crunelle, C.L.; Brink, W.v.D.; Moggi, F.; Konstenius, M.; Franck, J.; Levin, F.R.; van de Glind, G.; Demetrovics, Z.; Coetzee, C.; Luderer, M.; et al. International consensus statement on screening, diagnosis and treatment of substance use disorder patients with comorbid attention deficit/hyperactivity disorder. Eur Addict Res. 2018, 24, 43–51. [Google Scholar] [CrossRef]
- Westover, A.N.; Nakonezny, P.A.; Halm, E.A.; Adinoff, B. Risk of amphetamine use disorder and mortality among incident users of prescribed stimulant medications in the Veterans Administration. Addiction 2018, 113, 857–867. [Google Scholar] [CrossRef]
- Vosburg, S.K.; Robbins, R.S.; Antshel, K.M.; Faraone, S.V.; Green, J.L. Characterizing prescription stimulant nonmedical use (NMU) among adults recruited from Reddit. Addict Behav Rep. 2021, 14, 100376. [Google Scholar] [CrossRef]
- Garnett, M.F.; Curtin, S.C.; Stone, D.M. Suicide mortality in the United States, 2000-2020. NCHS Data Brief. 2022, 1–8. [Google Scholar]
- Choi, N.G.; Marti, C.N.; Choi, B.Y. Three leading suicide methods in the United States, 2017-2019: Associations with decedents' demographic and clinical characteristics. Front Public Health. 2022, 10, 955008. [Google Scholar] [CrossRef] [PubMed]
- Gummin, D.D.; Mowry, J.B.; Beuhler, M.C.; Spyker, D.A.; Bronstein, A.C.; Rivers, L.J.; Pham, N.P.T.; Weber, J. 2020 annual report of the American Association of Poison Control Centers' National Poison Data System (NPDS): 38th annual report. Clin Toxicol 2021, 59, 1282–1501. [Google Scholar] [CrossRef] [PubMed]
- Grimes, D.A.; Schulz, K.F. Making sense of odds and odds ratios. Obstet Gynecol. 2008, 111 Pt 1, 423–426. [Google Scholar] [CrossRef]
- Allison, P. When can you safely ignore multicollinearity? 2012. https://statisticalhorizons.com/multicollinearity/.
- Cassidy, T.A.; McNaughton, E.C.; Varughese, S.; Russo, L.; Zulueta, M.; Butler, S.F. Nonmedical use of prescription ADHD stimulant medications among adults in a substance abuse treatment population: Early findings from the NAVIPPRO surveillance system. J Atten Disord. 2015, 19, 275–283. [Google Scholar] [CrossRef] [PubMed]
- Substance Abuse and Mental Health Services Administration. (2021). Key substance use and mental health indicators in the United States: Results from the 2020 National Survey on Drug Use and Health (HHS Publication No. PEP21-07-01-003, NSDUH Series H-56). Rockville, MD: Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration. Available from https://www.samhsa.gov/data/.
- Miller, T.R.; Swedler, D.I.; Lawrence, B.A.; Ali, B.; Rockett, I.R.H.; Carlson, N.N.; Leonardo, J. Incidence and lethality of suicidal overdoses by drug class. JAMA Netw Open. 2020, 3, e200607. [Google Scholar] [CrossRef] [PubMed]
- Ge, S.; Tian, C.; Wu, L.; Liu, M.; Lu, H. Prescribed opioid use is associated with increased all-purpose emergency department visits and hospitalizations in community-dwelling older adults in the United States. Front Psychiatry 2022, 13, 1092199. [Google Scholar] [CrossRef] [PubMed]
- ElDesoky, E.S. Pharmacokinetic-pharmacodynamic crisis in the elderly. Am J Ther. 2007, 14, 488–498. [Google Scholar] [CrossRef]
- Shi, S.; Klotz, U. Age-related changes in pharmacokinetics. Curr Drug Metab. 2011, 12, 601–610. [Google Scholar] [CrossRef]
- Yim, C.L.H.; Wong, E.W.W.; Jellie, L.J.; Lim, A.K.H. Illicit drug use and acute kidney injury in patients admitted to hospital with rhabdomyolysis. Intern Med J. 2019, 49, 1285–1292. [Google Scholar] [CrossRef]
- Thomas, I.C.; Nishimura, M.; Ma, J.; Dickson, S.D.; Alshawabkeh, L.; Adler, E.; Maisel, A.; Criqui, M.H.; Greenberg, B. Clinical characteristics and outcomes of patients with heart failure and methamphetamine abuse. J Card Fail. 2020, 26, 202–209. [Google Scholar] [CrossRef]
- Soder, H.E.; Berumen, A.M.; Gomez, K.E.; Green, C.E.; Suchting, R.; Wardle, M.C.; Vincent, J.; Teixeira, A.L.; Schmitz, J.M.; Lane, S.D. 2020. Elevated neutrophil to lymphocyte ratio in older adults with cocaine use disorder as a marker of chronic inflammation. Clin Psychopharmacol Neurosci. 2020, 18, 32–40. [Google Scholar] [CrossRef] [PubMed]
- Frazer, K.M.; Richards, Q.; Keith, D.R. The long-term effects of cocaine use on cognitive functioning: A systematic critical review. Behav Brain Res. 2018, 348, 241–262. [Google Scholar] [CrossRef] [PubMed]
- Zolopa, C.; Høj, S.B.; Minoyan, N.; Bruneau, J.; Makarenko, I.; Larney, S. Ageing and older people who use illicit opioids, cocaine or methamphetamine: A scoping review and literature map. Addiction 2022, 117, 2168–2188. [Google Scholar] [CrossRef] [PubMed]
- Moran, L.V.; Masters, G.A.; Pingali, S.; Cohen, B.M.; Liebson, E.; Rajarethinam, R.; Ongur, D. Prescription stimulant use is associated with earlier onset of psychosis. J Psychiatr Res. 2015, 71, 41–47. [Google Scholar] [CrossRef]
- Buoli, M.; Serati, M.; Cahn, W. Alternative pharmacological strategies for adult ADHD treatment: A systematic review. Expert Rev Neurother. 2016, 16, 131–144. [Google Scholar] [CrossRef]
- Centers for Disease Control and Prevention. Death Rate Maps & Graphs. 2022. https://www.cdc.gov/drugoverdose/deaths/index.html.


| (1) Unintentional exposure 4,325 (58.4%) |
(2) Suspected suicide 2,100 (28.4%) |
(3) Intentional misuse 977 (13.2%) |
P: among 3 groups |
P: between (2) & (3) |
||
| Year (%) | .030 | .067 | ||||
| 2015 | 13.2 | 12.9 | 14.6 | |||
| 2016 | 13.3 | 13.3 | 13.9 | |||
| 2017 | 13.7 | 14.2 | 15.1 | |||
| 2018 | 13.9 | 14.9 | 11.5 | |||
| 2019 | 14.0 | 14.3 | 16.1 | |||
| 2020 | 14.6 | 15.0 | 15.8 | |||
| 2921 | 17.3 | 15.3 | 13.0 | |||
| US census region (%) | <.001 | .416 | ||||
| North East | 12.2 | 14.1 | 15.8 | |||
| Midwest | 23.5 | 26.5 | 25.4 | |||
| South | 41.9 | 40.7 | 38.5 | |||
| West | 22.0 | 18.5 | 20.4 | |||
| Puerto Rico/unknown | 0.4 | 0.1 | 0 | |||
| Age group (in years; %) | <.001 | .017 | ||||
| 50-59 | 55.9 | 73.4 | 75.1 | |||
| 60-69 | 29.5 | 21.6 | 22.1 | |||
| 70+ | 14.5 | 5.0 | 2.8 | |||
| Sex (%) | <.001 | <.001 | ||||
| Female | 74.4 | 64.6 | 45.7 | |||
| Female | 25.6 | 35.4 | 54.3 | |||
| Route of administration (%) | ||||||
| Ingestion | 77.5 | 85.0 | 81.6 | <.001 | .020 | |
| Inhalation/nasal | 12.5 | 15.5 | 13.2 | .004 | .101 | |
| Injection | 2.3 | 3.2 | 3.5 | .031 | .746 | |
| Management/care site (%) | <.001 | <.001 | ||||
| On site (non HCF) | 71.2 | 0 | 5.4 | |||
| healthcare facility treated/evaluated & released | 15.2 | 16.4 | 26.6 | |||
| Admitted to a psychiatric facility | 0.4 | 21.4 | 7.5 | |||
| Admitted to a noncritical care unit | 3.0 | 19.0 | 18.6 | |||
| Admitted to a critical care unit | 1.8 | 38.7 | 31.6 | |||
| No show/lost to follow-up/left against medical advice/unknown | 8.4 | 4.5 | 10.2 | |||
| No. of substances involved, M (SE) | 2.09 (2.14) | 3.51 (2.45) | 2.38 (1.82) | <.001 | <.001 | |
| Other substance used (%) | ||||||
| Benzodiazepine | 3.5 | 34.9 | 15.4 | <.001 | <.001 | |
| Antidepressants | 8.9 | 19.4 | 7.4 | <.001 | <.001 | |
| Prescription opioids | 2.7 | 18.2 | 16.5 | <.001 | .264 | |
| Drugs for cardiovascular disease | 13.1 | 13.7 | 4.8 | <.001 | <.001 | |
| Antipsychotics | 5.8 | 19.6 | 8.2 | <.001 | <.001 | |
| Antihistamine | 3.0 | 6.5 | 3.8 | <.001 | .002 | |
| Muscle relaxant | 1.4 | 7.8 | 4.6 | <.001 | .002 | |
| Alcohol | 0.5 | 18.1 | 10.6 | <.001 | <.001 | |
| Marijuana | 0.1 | 2.5 | 4.4 | <.001 | .007 | |
| Methadone | 0.3 | 1.2 | 1.7 | <.001 | .243 | |
| Illicit drug1 | 0.2 | 3.0 | 12.0 | <.001 | <.001 | |
| Medical outcomes (%) | ||||||
| Major effect/death | 0.7 | 18.8 | 17.0 | <.001 | .229 | |
| All other | 99.3 | 81.2 | 83.0 | |||
| Suspected suicide vs. Intentional misuse/abuse |
Major effect/death vs. All other outcomes |
||
| IRR (95% CI) | IRR (95% CI) | ||
| Suspected suicide: vs. Intentional misuse/abuse |
1.06 (0.87-1.28) | ||
| Amphetamine vs. Methylphenidate | 0.97 (0.91-1.04) | 1.24 (0.99-1.56) | |
| Benzodiazepine | 1.09 (1.03-1.16)** | 1.17 (0.98-1.41) | |
| Antidepressants | 1.07 (0.99-1.16) | 1.43 (1.16-1.76)** | |
| Prescription opioids | 1.00 (0.93-1.08) | 1.48 (1.21-1.82)*** | |
| Drugs for cardiovascular disease | 1.07 (0.90-1.13) | 1.51 (1.20-1.90)** | |
| Antipsychotics | 1.06 (0.98-1.14) | 1.26 (1.02-1.55)* | |
| Antihistamine | 1.01 (0.90-1.13) | 0.87 (0.61-1.24) | |
| Muscle relaxant | 1.01 (0.91-1.13) | 1.13 (0.84-1.52) | |
| Alcohol | 1.06 (0.99-1.14) | 0.87 (0.68-1.11) | |
| Marijuana | 0.97 (0.82-1.15) | 1.14 (0.75-1.73) | |
| Methadone | 0.97 (0.76-1.25) | 1.19 (0.68-2.08) | |
| Any illicit drug | 0.83 (0.73-0.95)** | 2.40 (1.82-3.15)*** | |
| Year: vs. 2015 | |||
| 2016 | 1.03 (0.92-1.14) | 1.00 (0.71-1.42) | |
| 2017 | 1.02 (0.91-1.13) | 1.08 (0.78-1.50) | |
| 2018 | 1.05 (0.95-1.17) | 1.19 (0.85-1.65) | |
| 2019 | 1.01 (0.91-1.12) | 1.44 (1.05-1.97)* | |
| 2020 | 1.03 (0.93-1.14) | 1.27 (0.93-1.75) | |
| 2021 | 1.05 (0.95-1.16) | 1.13 (0.82-1.57) | |
| US census region: vs. South | |||
| Northeast | 0.98 (0.90-1.06) | 1.43 (1.11-1.84)** | |
| Midwest | 1.00 (0.93-1.07) | 1.50 (1.22-1.84)*** | |
| West | 1.00 (0.93-1.08) | 1.13 (0.88-1.44) | |
| Age: vs. 50-59 years | |||
| 60-69 years | 1.00 (0.93-1.07) | 1.10 (0.90-1.34) | |
| 70+ years | 1.05 (0.92-1.20) | 1.25 (0.85-1.83) | |
| Female vs. Male | 1.07 (1.01-1.13)* | 1.10 (0.92-1.31) | |
| N | 3,072 | 3,072 | |
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