Product Images Aciphex

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Aciphex NDC 54868-4185 by Physicians Total Care, Inc., 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.

image of 20 mg package label - 4185

image of 20 mg package label - 4185

This is a pharmaceutical label of Aciphexe, a medication that comes in 20 mg tablets. The package contains 8 tablets and it is intended for use by physicians in total care. The meaning of "e v s" is not available.*

image of chemical structure - chemical structure

image of chemical structure - chemical structure

image of graph 1 - figure 1

image of graph 1 - figure 1

The text describes the results of a study evaluating the effect of a placebo and two doses of the medication RAB (10mg and 20mg) on heartburn symptoms. The study included 67 participants and heartburn was scored based on severity using a scale of 0 to 4. The term "Mean Slore" is not a readable text and its meaning is not available.*

image of graph 2 - figure 2

image of graph 2 - figure 2

This text presents a table with heartburn scores for two groups of participants (n=64 and n=67) who were given different doses of a medication (either placebo or RAB 10mg or RAB 20mg). The scores are rated on a scale of 0 (none) to 2 (moderate). The name "Mean Slore" at the top of the page lacks context and does not provide any meaningful information.*

image of graph 3 - figure 3

image of graph 3 - figure 3

This appears to be a table showing the mean score for heartburn in a study on a placebo group and a group receiving 20mg of Rab (likely Rabeprozole) over the course of multiple study days. Heartburn scores are rated on a scale of 0 to 4.*

image of graph 4 - figure 4

image of graph 4 - figure 4

* 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.