Product Images Neostigmine Methylsulfate

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Product Label Images

The following 4 images provide visual information about the product associated with Neostigmine Methylsulfate NDC 65219-811 by Fresenius Kabi Usa, Llc, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

structure - neo0m 0002 01

structure - neo0m 0002 01

logo - neo0m 0002 02

logo - neo0m 0002 02

410510 vial - neo0m 0002 03

410510 vial - neo0m 0002 03

This is a medication labeled NDC 65219-811-01, with the brand name RF410510. It is sterile and non-pyrogenic, meant for intravenous use. Each mL contains neostigmine (1 mg), neostigmine methylsulfate, phenol (4.5 mg), sodium acetate (trihydrate) (0.2 mg), and water for injection. Methylsulfate is added as a preservative. Acetic acid and/or sodium hydroxide might have been added for pH adjustment. The usual dosage should be checked from the package insert. The storage condition for this medication is between 20°C to 25°C (68°F to 77°F), protected from light. The medication comes in a multiple-dose vial that needs to be stored in the tray until used.*

410510 tray - neo0m 0002 04

410510 tray - neo0m 0002 04

This is a description of a medication with NDC code 65219-811-10. It is a sterile and nonpyrogenic neostigmine injection containing 1mg of neostigmine methylsulfate and 0.2mg of methylsulfate (trihydrate) per mL, with phenol added as a preservative, and sodium acetate as a buffer. The pH may be adjusted using sodium hydroxide and/or acetic acid. The package insert provides usual dosage information. It is recommended to store the medication at 20°C to 25°C (68°F to 77°F) and to protect it from light. The medication is for intravenous use only, and vials should be stored in a tray until ready for use. The container closure that holds the medication does not contain natural rubber latex.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.