Drug abuse in Pakistan - United Nations Office on Drugs and Crime
Drug abuse in Pakistan - United Nations Office on Drugs and Crime Drug abuse in Pakistan - United Nations Office on Drugs and Crime
DRUG ABUSE IN PAKISTAN Table 23. Locales used
NATIONAL DRUG CONTOUR MAPPING Table 24. Locales
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NATIONAL DRUG CONTOUR MAPPING<br />
Table 24. Locales <str<strong>on</strong>g>in</str<strong>on</strong>g> the treatment register study <strong>and</strong> <str<strong>on</strong>g>in</str<strong>on</strong>g> the four cities study<br />
Locales <str<strong>on</strong>g>in</str<strong>on</strong>g><br />
Treatment register<br />
overall study update study Four cities<br />
Study Urban locale Specialist treatment No. of treatment Addict <str<strong>on</strong>g>in</str<strong>on</strong>g>terviews<br />
Prov<str<strong>on</strong>g>in</str<strong>on</strong>g>ce ID No. (districts) centres centres c<strong>on</strong>ducted<br />
Punjab 7 Lahore Lahore 14** 256*<br />
6 Multan Multan 5<br />
10 Rawalp<str<strong>on</strong>g>in</str<strong>on</strong>g>di Rawalp<str<strong>on</strong>g>in</str<strong>on</strong>g>di 6<br />
8 Sialkot Sialkot 2<br />
9 Faislabad Faislabad 1<br />
S<str<strong>on</strong>g>in</str<strong>on</strong>g>dh 3 Karachi Karachi 17** 264*<br />
4 Hyderabad Hyderabad 6<br />
5 Sukkar Sukkar 2<br />
Balochistan 2 Quetta Quetta 3 255*<br />
1 Turbat<br />
NWFP 12 Peshawar Peshawar 7 262*<br />
14 Bannu Bannu 1<br />
13 Maradan Maradan 1<br />
17 Chitral Chitral 2**<br />
15 Dir Dir 1<br />
16 Gilgit<br />
18 Haripur<br />
(FATA)*** 20 Mohm<strong>and</strong> Agency<br />
21 Khyber Agency<br />
Totals 68 1 037<br />
*A total of six additi<strong>on</strong>al <str<strong>on</strong>g>in</str<strong>on</strong>g>terviews with female addicts were c<strong>on</strong>ducted.<br />
**Three locales reported a treatment centre with no <str<strong>on</strong>g>in</str<strong>on</strong>g>patient facilities.<br />
***For prevalence estimati<strong>on</strong> purposes FATA is <str<strong>on</strong>g>in</str<strong>on</strong>g>corporated with NWFP.<br />
people who generate the episode total through<br />
repeated treatment episodes dur<str<strong>on</strong>g>in</str<strong>on</strong>g>g the same year.<br />
The <str<strong>on</strong>g>in</str<strong>on</strong>g>formati<strong>on</strong> from the Treatment Register Update<br />
study generated a profile of specialist drug treatment<br />
cl<str<strong>on</strong>g>in</str<strong>on</strong>g>ics across <str<strong>on</strong>g>Pakistan</str<strong>on</strong>g>. The <str<strong>on</strong>g>in</str<strong>on</strong>g>formati<strong>on</strong> <strong>on</strong> numbers<br />
of <str<strong>on</strong>g>in</str<strong>on</strong>g>patient beds <strong>and</strong> numbers of male hard drug<br />
users treated dur<str<strong>on</strong>g>in</str<strong>on</strong>g>g the year are given <str<strong>on</strong>g>in</str<strong>on</strong>g> summary<br />
form <str<strong>on</strong>g>in</str<strong>on</strong>g> table 27 below.<br />
Estimat<str<strong>on</strong>g>in</str<strong>on</strong>g>g the multiplier to represent<br />
addicts not receiv<str<strong>on</strong>g>in</str<strong>on</strong>g>g treatment<br />
The appropriate multiplier for the calculati<strong>on</strong>, as a<br />
c<strong>on</strong>sequence of the above decisi<strong>on</strong>s <strong>on</strong> <str<strong>on</strong>g>in</str<strong>on</strong>g>clusi<strong>on</strong>,<br />
represents all addicts who did not receive treatment<br />
<str<strong>on</strong>g>in</str<strong>on</strong>g> specialist drug cl<str<strong>on</strong>g>in</str<strong>on</strong>g>ics dur<str<strong>on</strong>g>in</str<strong>on</strong>g>g the year. This <str<strong>on</strong>g>in</str<strong>on</strong>g>formati<strong>on</strong><br />
was collected from a comb<str<strong>on</strong>g>in</str<strong>on</strong>g>ati<strong>on</strong> of data<br />
sources, namely from the four cities study <strong>and</strong> from<br />
the key <str<strong>on</strong>g>in</str<strong>on</strong>g>formants study. The addicts <str<strong>on</strong>g>in</str<strong>on</strong>g>terviewed <str<strong>on</strong>g>in</str<strong>on</strong>g><br />
the four cities study—those who were not currently<br />
<str<strong>on</strong>g>in</str<strong>on</strong>g> treatment—were asked whether they had been <str<strong>on</strong>g>in</str<strong>on</strong>g><br />
treatment <str<strong>on</strong>g>in</str<strong>on</strong>g> the 12 m<strong>on</strong>ths prior to their <str<strong>on</strong>g>in</str<strong>on</strong>g>terview.<br />
The proporti<strong>on</strong> of addicts who had been treated<br />
could therefore be estimated. This was d<strong>on</strong>e <str<strong>on</strong>g>in</str<strong>on</strong>g> all<br />
four cities where addict <str<strong>on</strong>g>in</str<strong>on</strong>g>terviews were c<strong>on</strong>ducted.<br />
The key <str<strong>on</strong>g>in</str<strong>on</strong>g>formant study provided more widely<br />
spread <str<strong>on</strong>g>in</str<strong>on</strong>g>formati<strong>on</strong>—by direct questi<strong>on</strong><str<strong>on</strong>g>in</str<strong>on</strong>g>g of the<br />
resp<strong>on</strong>dent—that gave the proporti<strong>on</strong> of addicts<br />
treated that year <str<strong>on</strong>g>in</str<strong>on</strong>g> the various locales used <str<strong>on</strong>g>in</str<strong>on</strong>g> the<br />
study. Informants who were not directly <str<strong>on</strong>g>in</str<strong>on</strong>g>volved<br />
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