Literature DB >> 24893239

Neurologic complications of illicit drug abuse.

John C M Brust.   

Abstract

PURPOSE OF REVIEW: This review familiarizes clinicians with the symptoms of overdose and withdrawal, as well as neurologic complications, associated with particular illicit drugs. RECENT
FINDINGS: Recent arrivals on the recreational drug scene include synthetic cathinone analogs, synthetic cannabinoid agonists, and a variety of novel hallucinogens.
SUMMARY: Clinicians need to be aware of neurologic disorders associated with particular illicit drugs and should consider drug abuse in any patient with unexplained symptoms and signs.In addition to tobacco and alcohol, a large number of substances, legal and illegal, are used recreationally. Broad categories include opioids, psychostimulants, marijuana and related agents, sedatives, hallucinogens, inhalants, phencyclidine and related agents, and anticholinergics. Each type of agent has its own characteristic symptoms of overdose and withdrawal, and many agents are associated with trauma, infection, seizures, stroke, cognitive impairment, and teratogenicity. Some drugs have unique neurologic complications not encountered with other agents. A history of recreational drug use should be sought in any neurologic patient regardless of age or socioeconomic status.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24893239     DOI: 10.1212/01.CON.0000450971.99322.cd

Source DB:  PubMed          Journal:  Continuum (Minneap Minn)        ISSN: 1080-2371


  4 in total

1.  Convergent Validity of Self-Administered Addiction Severity Index in a Sample of Nigerian Patients in a Residential Treatment Facility.

Authors:  Mukhtar Mohammed Yerima; Peter Olutunde Onifade; Ibrahim Abdu Wakawa; Sadique Kwajaffa Pindar; Mohammed Said Jidda; Umar Baba Musami; Fatima Abba Ali
Journal:  Niger Med J       Date:  2020-05-07

Review 2.  [Early onset substance abuse disorders and addictive diseases in old age].

Authors:  Dirk K Wolter
Journal:  Z Gerontol Geriatr       Date:  2018-09-04       Impact factor: 1.281

Review 3.  Psychostimulants and movement disorders.

Authors:  Andres Asser; Pille Taba
Journal:  Front Neurol       Date:  2015-04-20       Impact factor: 4.003

4.  Comparing Logistic Regression Models with Alternative Machine Learning Methods to Predict the Risk of Drug Intoxication Mortality.

Authors:  YoungJin Choi; YooKyung Boo
Journal:  Int J Environ Res Public Health       Date:  2020-01-31       Impact factor: 3.390

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.