Product Images Parlodel
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Parlodel NDC 30698-202 by Validus Pharmaceuticals 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.
The structural formula for Parlodel® (bromocriptine mesylate) is an ergot derivative with potent dopamine receptor agonist activity. Each Parlodel® (bromocriptine mesylate) SnapTabs® tablet for oral administration contains 2½ mg and each capsule contains 5 mg bromocriptine (as the mesylate). Bromocriptine mesylate is chemically designated as Ergotaman 3′, 6′, 18 trione, 2-bromo-12′- hydroxy 2′ (1 methylethyl) 5′ (2 methylpropyl) , (5′α) monomethanesulfonate (salt). - parlodel capsules and tablets 02
PRINCIPAL DISPLAY PANELNDC 30698-202-30Parlodel®(bromocriptine mesylate)tablets, USP2 ½ mg30 Snap Tabs®Rx Only - parlodel capsules and tablets 03
Parlodel is a medication that contains bromocriptine mesylate and is available in the form of 5mg tablets. The medication is packaged in a container with 30 Snap Tabs. The NDC code for the medication is 30688-202-30 R.*
PRINCIPAL DISPLAY PANELNDC 30698-202-01Parlodel®(bromocriptine mesylate)tablets, USP2 ½ mg100 Snap Tabs®Rx Only - parlodel capsules and tablets 04
PRINCIPAL DISPLAY PANELNDC 30698-201-30Parlodel®(bromocriptine mesylate)capsules, USP5 mg30 CapsulesRx Only - parlodel capsules and tablets 05
PRINCIPAL DISPLAY PANELNDC 30698-201-01Parlodel®(bromocriptine mesylate)capsules, USP5 mg100 CapsulesRx Only - parlodel capsules and tablets 06
This is information about Parlodel, a medication in the form of capsules containing 5mg of bromocriptine mesilate as an active ingredient. It also provides the NDC code for the medication. There are some illegible characters and unclear formatting in the text.*
* 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.