Pregabalin Capsule
Product Images NDC 71205-304

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 14 technical images submitted to the FDA as part of the official labeling for Pregabalin (NDC 71205-304). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Proficient Rx Lp, 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

71205-304-60 (Pregabalin Caps 75mg 90s Count)

71205-304-60 (Pregabalin Caps 75mg 90s Count)
This is a medication called Pregabalin 75mg which comes in a bottle of 60 capsules. Each of the capsules has the drug name, dosage and company logo imprinted on them. The drug is made by a company called ScieGen Pharmaceuticals Inc. and packaged by Proficent Rx LP. It should be stored at 25°C and kept out of reach of children. The text also includes the lot number and expiration date of the drug. A medication guide should be provided to each patient receiving this drug. *
FDA Label Image

Figure 1 (Pregabalin Fig01)

Figure 1 (Pregabalin Fig01)
The text seems to be a table displaying some percentages related to patients' improvement regarding pain. The first line shows "Percent of Patients Improved" and the second line shows some digits ranging from 0 to 8. It is unclear what they represent without any context or further information available. The third line shows some non-English characters along with the digit "3". The fourth line contains a letter "o" and a non-English character, and the fifth line shows a word "Shemmm" and some spaces. The sixth line is empty. The seventh line contains some digits "2" and "0" forming a sequence. The last line shows "Percent Improvement in Pain fom Baseline". As the text is fragmented and mostly unreadable, it is not possible to derive any specific or useful description from it.*
FDA Label Image

Figure 2 (Pregabalin Fig02)

FDA Label Image

Figure 3 (Pregabalin Fig03)

Figure 3 (Pregabalin Fig03)
This appears to be a chart or table displaying the percentage of patients who experienced improvement in their pain levels while taking different doses of Pregabalin and Gabapentin medications. The first line shows different dosages of Pregabalin (300mg, 160mg, and 75mg) taken two or three times per day. The second line appears to be cut off and no context is given for "Flaosbo." The last line shows percentages of improvement in pain levels from a baseline measurement. The numbers appear to be cut off and difficult to read, though they are possibly in the range of 20-88%.*
FDA Label Image

Figure 4 (Pregabalin Fig04)

FDA Label Image

Figure 5 (Pregabalin Fig05)

FDA Label Image

Figure 6 (Pregabalin Fig06)

FDA Label Image

Figure 7 (Pregabalin Fig07)

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Figure 9 (Pregabalin Fig08)

FDA Label Image

Figure 10 (Pregabalin Fig09)

Figure 10 (Pregabalin Fig09)
This is a table showing estimated percentages of subjects without LTR (late treatment response) for a drug called Progabain and placebo over a span of 120 days. The percentages range from 0% to 100%.*
FDA Label Image

Figure 11 (Pregabalin Fig10)

Figure 11 (Pregabalin Fig10)
The text is not available as it only includes gibberish characters and a number "00".*
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Figure 12 (Pregabalin Fig11)

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Cockcroft And Gault Equation (Pregabalin Formula)

Cockcroft And Gault Equation (Pregabalin Formula)
This text provides a formula to calculate the CLCT (creatinine clearance) for patients based on their age, weight, and serum creatinine level. The formula involves subtracting the patient's age from 140, multiplying by their weight in kilograms, and then multiplying again by 0.85 for female patients. The result is then calculated by multiplying 72 by the patient's serum creatinine level measured in mg/dL.*
FDA Label Image

Chemical Structure (Pregabalin Str)

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