Product Images Buprenorphine Hcl

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Buprenorphine Hcl NDC 71335-1163 by Bryant Ranch Prepack, 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.

bup hcl chem fig

bup hcl chem fig

HCI stands for Human-Computer Interaction, which refers to the study of how people interact with computers and technology. This field of study explores how to design digital interfaces that are user-friendly, efficient, and effective in meeting users' needs and goals. Practitioners in HCI come from a diverse range of fields, including psychology, computer science, engineering, design, and more. The goal of HCI is to make technology accessible and usable for everyone, regardless of their technical expertise, physical abilities, or cultural background.*

ifu image

ifu image

Label Image - lbl713351163

Label Image - lbl713351163

This text indicates information about Buprenorphine Sublingual Tablets, USP with a strength of 8 mg. The tablets should be stored at a temperature of 20° to 25° C and kept away from children. They may cause drowsiness, and the prescription is for 90 tablets. There is also a unique VSN #0516 and an NDC code 63629-7126-01 provided for identification purposes.*

lbl7133511632

lbl7133511632

This appears to be a description of a drug package, with some basic information such as the drug name (Subutex 8mg), the manufacturer (Hikma Pharmaceuticals USA Inc.), the package contents (#90), expiration date (MM/YY), and the NDC code (7133511631). The packaging was handled by someone named Bryant Ranck, and there are instructions to store the drug at room temperature (20°-25°C or 68°-77°F) and to keep it away from children. The last line may be a barcode or tracking number.*

* 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.