Related Experiment Video
Updated: Jun 29, 2026

Systemic and Local Drug Delivery for Treating Diseases of the Central Nervous System in Rodent Models
Published on: August 17, 2010
Medicaid spending and utilization for central nervous system drugs
David K Baugh1, Penelope L Pine, Steve Blackwell
1Centers for Medicare & Medicaid Services (CMS), Baltimore, MD 21244-1850, USA. dbaugh@cms.hhs.gov
Abstract:
Prior research has shown that prescription drug spending grew substantially during the decade of the 1990s. This analysis uses 1996 to 1998 State Medicaid Research File (SMRF) fee-for-service (FFS) data for 29 participating States to provide insight into the factors driving this growth. The analysis examines cost variation by census region, State, Medicaid basis of eligibility, and therapeutic use of drugs. In 1998, the highest expenditures were for central nervous system (CNS) drugs and for anti-psychotics compared to three other groups of CNS drugs (anti-anxiety agents, anti-depressants, and hypnotics). By eligibility group, expenditures were typically highest for disabled enrollees. There were major variations among SMRF States and their respective regions.
Related Concept Videos
Factors Affecting Drug Response: Overview
Centrally Acting Muscle Relaxants: Therapeutic Uses
Centrally acting drugs are classified into spasmolytic and antispasmodic drugs. Spasmolytic drugs such as baclofen, diazepam, and tizanidine inhibit spinal motor neurons and decrease muscle tone. Spasmolytic drugs are administered for severe and chronic spasms due to multiple sclerosis, cerebral palsy, stroke, and spinal cord and muscle injuries. However,...
Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists
Antiepileptic Drugs: Glutamate Antagonists
Drug Delivery: Parenteral Route
There are three primary parenteral routes: intravenous (IV), intramuscular (IM), and subcutaneous (SC). The IV route introduces the drug directly into the bloodstream, ensuring immediate action. The IM route...
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

