Product Images Humulin R

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 18 images provide visual information about the product associated with Humulin R NDC 0002-8215 by Eli Lilly And Company, 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.

Figure - humulin r100 ifu 10v1

Figure - humulin r100 ifu 10v1

Figure - humulin r100 ifu 11v1

Figure - humulin r100 ifu 11v1

Figure - humulin r100 ifu 12v2

Figure - humulin r100 ifu 12v2

Figure - humulin r100 ifu 13v1

Figure - humulin r100 ifu 13v1

Figure - humulin r100 ifu 14v1

Figure - humulin r100 ifu 14v1

Figure - humulin r100 ifu 15v1

Figure - humulin r100 ifu 15v1

Figure - humulin r100 ifu 16v1

Figure - humulin r100 ifu 16v1

This is a description of a syringe and its components. The text mentions the needle shield, needle, plunger tip, syringe body, and plunger. It also shows an example dose of 20 units at the plunger tip.*

humulin r100 ifu 1v3

humulin r100 ifu 1v3

This text provides a brief description of a product that appears to include a protective cap and a rubber stopper located under the cap. No further information is available to provide a more detailed description or use case for the product.*

Figure - humulin r100 ifu 3v1

Figure - humulin r100 ifu 3v1

Figure - humulin r100 ifu 4v1

Figure - humulin r100 ifu 4v1

Figure - humulin r100 ifu 5v1

Figure - humulin r100 ifu 5v1

Figure - humulin r100 ifu 6v1

Figure - humulin r100 ifu 6v1

Figure - humulin r100 ifu 7v1

Figure - humulin r100 ifu 7v1

Figure - humulin r100 ifu 8v1

Figure - humulin r100 ifu 8v1

Figure - humulin r100 ifu 9v1

Figure - humulin r100 ifu 9v1

Figure - humulin r100 qr

Figure - humulin r100 qr

Figure 1 - humulin r100 uspi 1v1

Figure 1 - humulin r100 uspi 1v1

humulin r100 vial carton nl093

humulin r100 vial carton nl093

* 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.