Rabeprazole Sodium
Product Images NDC 45865-123

Product Visual Gallery

This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Rabeprazole Sodium (NDC 45865-123). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Medsource Pharmaceuticals, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

30 Tablets (Pdp 123)

Rabeprazole sodium is a generic drug that comes in the form of 20mg tablets. It can be used to treat certain stomach and esophagus problems, such as acid reflux, ulcers, and other conditions related to excessive stomach acid production. This drug is intended to offer a lower-cost alternative to Aciphex, a brand-name medication for the same conditions.*

FDA Label Image

Rabe-str (Rabe Str)

FDA Label Image

Rabe-str2 (Rabe Str2)

The text describes a table indicating heartburn scores for a study conducted using two types of medication (PLACEBO, RAB 10mg, RAB 20mg). The study was conducted over a period of 28 days and the heartburn scores ranged from 0 (none) to 4 (very severe). The table also indicates the mean score for the three treatments.*

FDA Label Image

Rabe-str3 (Rabe Str3)

This appears to be a chart showing the mean score values for a study comparing a placebo group (n=58) to a group taking a medication called Rab20mg (n=59) over the course of 28 study days. The chart includes a key for heartburn scores ranging from 0 (none) to 4 (very severe).*

FDA Label Image

Rabe-str4 (Rabe Str4)

This appears to be a chart showing the mean scores for heartburn in a study comparing a placebo to RAB20mg with a sample size of 59. The scores range from 0 to 22 and are categorized as mild, moderate, severe, or very severe based on study day.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.