Product Images Vyleesi
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 19 images provide visual information about the product associated with Vyleesi NDC 80064-141 by Palatin Technologies, 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.
vyl00 0002 04
This is a set of instructions for a medication known as Vyleesi (bremelanotide). It comes in a 175 mg/0.3 mL dose and is administered via subcutaneous injection.*
vyl00 0002 05
This appears to be a description of different parts of an autoinjector device, potentially for the medication Vyleesi. It includes information about an expiration date and various components such as a view window, clear cap, gray tip, and purple window/tip. The text may be incomplete or contain errors (e.g. "thereis" instead of "there is" and incomplete sentences), but it is possible to gather a basic understanding of the product from the provided information.*
vyl00 0002 06
Vyleesi is a medication name (pronounced vahy-lee-see). No further information is provided.*
vyl00 0002 15
The text seems to be a part of some guide or instruction manual that explains the sixth step of a procedure. The step instructs the user to dispose of an autoinjector in a way that is inaccessible to children. The rest of the text may not be readable due to errors.*
vyl00 0002 19
This is a product description for Vyleesi, a medication with bremelanotide injection used for subcutaneous use. This is a single-dose autoinjector and should not be taken more than 1 dose within 24 hours or eight doses per month. It is manufactured by Palatin Technologies, Inc. and comes with an NDC of 80064 141 01. Users are advised to store it at or below the temperature of 25°C (77°F), not freeze, and keep it away from light. NERI® is also mentioned, but it is unclear how it relates to Vyleesi.*
* 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.