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1 ising method for decreasing relapse in human addicts.
2 therapies for cue-induced relapse in cocaine addicts.
3 ing is a major cause of relapse in abstinent addicts.
4 uce cue-induced relapse in abstinent cocaine addicts.
5 w is bad is a major challenge for recovering addicts.
6 ing deficits of cognitive control in cocaine addicts.
7 potential to reduce relapse in human cocaine addicts.
8 l of cue-elicited craving in abstinent human addicts.
9 induced cocaine craving in abstinent cocaine addicts.
10 s that underlie craving and relapse in human addicts.
11 eterminants of relapse in recovering cocaine addicts.
12 t for previously unresponsive chronic heroin addicts.
13 l and therefore subsequent relapse in opiate addicts.
14  limited by a high relapse rate in abstinent addicts.
15 s aspects of compulsive drug intake in human addicts.
16 gesia and is the main cause of death in drug addicts.
17 k of continued drug seeking and use in human addicts.
18  the nucleus accumbens of male human cocaine addicts.
19 l for recovering cocaine and methamphetamine addicts.
20 he restoration of cognitive function in meth addicts.
21 ulnerability to craving and relapse in human addicts.
22  is a major trigger for relapse in abstinent addicts.
23 cription to which cancer cells become highly addicted.
24 y a small percentage of alcohol users become addicted.
25 ic driver mutations to which tumor cells are addicted.
26 genetic lesion to which the cancer cells are addicted.
27 confirming that these tumors remain oncogene addicted.
28 stress than those of individuals who are not addicted.
29 , illustrating that cancers can be 'oncogene addicted' [1-10].
30             SIGNIFICANCE STATEMENT: In human addicts, abstinence is often self-imposed and relapse ca
31 ion between resting and activation but also 'addicts' active T cells to certain metabolic pathways in
32   Reduced effortful attention performance in addicts also correlated with thinner paralimbic cortices
33           Development of an efficacious, non-addicting analgesic has been challenging.
34 ostasis and withdrawal relate, both in a non-addicted and addicted state.
35 ne expression changes common to both cocaine-addicted and alcoholic individuals that may reflect neur
36 pplying the monetary incentive delay task in addicted and at-risk adult populations are reviewed, wit
37             Generalized reward processing in addicted and at-risk populations is often characterized
38 strate that the CML stem cell is not BCR-ABL addicted and have important implications for developing
39 ions and socioeconomic disadvantage are more addicted and less likely to quit and experience greater
40 d state to which the tumor cells have become addicted and make them vulnerable to therapies and targe
41 addicted obese people is compared to alcohol-addicted and non-addicted lean controls.
42                       Brain activity in food-addicted and non-food-addicted obese people is compared
43 ib with other c-MET inhibitors in both c-MET-addicted and nonaddicted cancer cells.
44 viability with similar potency in both c-MET-addicted and nonaddicted cells.
45 st that primitive CML cells are not oncogene addicted and that therapies that biochemically target BC
46  hippocampus of 26 lethally intoxicated drug addicts and 35 matched controls are described.
47 e markers to measure African ancestry in 407 addicts and 457 comparison subjects self-identified as A
48 ated cues trigger relapse to drug seeking in addicts and animals exposed to addictive drugs, even aft
49  opiate withdrawal contributes to relapse in addicts and can be studied in rats by using the opiate w
50 ential harmful effects of DCS-coupled CET in addicts and describe how these concerns might be mitigat
51 ppocampus of eight alcoholics, eight cocaine addicts and eight controls.
52 i isolated from post-mortem dlPFC of cocaine addicts and healthy controls.
53                          Research with human addicts and in animal models has demonstrated that extin
54 tive method to reduce cue-induced relapse in addicts and to study the neurobiology of addiction.
55 ul motivational control over the behavior of addicts, and can contribute to relapse via multiple, dis
56  Even after prolonged periods of abstinence, addicts are at risk of relapse, particularly when cues e
57 se the risk of relapse in recovering cocaine addicts are not well understood.
58                         The majority of drug addicts are polydrug dependent, and no effective pharmac
59 uggest that brain structure abnormalities in addicts are related in part to drug use and in part to p
60                                           In addicts, associative memories related to the rewarding e
61  (including reward-associated cues), putting addicts at increasing risk to relapse as addiction incre
62 cocaine exposure are responsible for cocaine-addicted behaviors, the underlying molecular mechanism a
63 is a key adaptation occurring in the cocaine-addicted brain, but the effect of cocaine on the fundame
64 bute to persistent functional changes in the addicted brain.
65                    We found that the cystine-addicted breast cancer cells and tumors have strong acti
66         Not everyone who takes drugs becomes addicted, but the likelihood of developing drug addictio
67 ontributors to relapse in recovering cocaine addicts, but the mechanisms by which they influence moti
68 es that showed enhanced ability to kill PI3K-addicted cancer cells and to inhibit Akt phosphorylation
69 ng incomplete tumor cell killing in oncogene-addicted cancer cells, we investigated the role of EGFR
70 t of cellular drug resistance in an oncogene-addicted cancer.
71    We found that many drug-treated "oncogene-addicted" cancer cells engage a positive feedback loop l
72 that targeting nutrient metabolism in energy-addicted cancers with high mTORC1 signaling may be an ef
73 mors, suggesting that treatment of glutamine-addicted cancers with mTOR inhibitors might have benefic
74 nd [hepatocyte growth factor receptor (MET)] addicted cancers, and reactivation of ErbB3 is a promine
75 d PHA-665752, suppressed the growth of c-MET-addicted cancers, but not the growth of cancers that are
76 hance clinical benefit for patients with MET-addicted cancers.
77 xcessive degradation of MET and triggers MET-addicted carcinoma cell death in vitro and in vivo.
78 " pathway induced by targeted therapy in Met-addicted carcinoma cells.
79 rols, we hypothesized and found that cocaine-addicted carriers of a 9R-allele exhibited higher respon
80 ion as a mechanism of cell death in oncogene-addicted cells and establish Par-4 as a negative regulat
81 w that despite increased glucose uptake, GLN addicted cells do not metabolize glucose via the TCA cyc
82                                          GLN addicted cells exhibit reduced PDH activity, increased P
83  inhibition of GDH converted these glutamine-addicted cells to glucose-addicted cells.
84  Consequently, ABT-263 failed to kill BCL-XL-addicted cells with low activator BH3s and BCL-XL overab
85 nges following drug treatment of mutant EGFR-addicted cells, we identified the stem cell transcriptio
86 ed these glutamine-addicted cells to glucose-addicted cells.
87 d response to targeted therapies of oncogene-addicted cells.
88 tion with pro-oxidants selectively kills GLN addicted cells.
89               Here we studied how "glutamine-addicted" cells react to interruptions of glutamine meta
90 ce self-administration paradigm to identify 'addicted' cocaine-preferring (CP) individuals and resist
91 sults suggest a strategy in which recovering addicts could use a systemically active compound to prot
92                                 However food-addicted differ from non-food-addicted obese people by o
93  also promotes counterselection of NF-kappaB-addicted DLBCL lines by a dual mechanism involving kinas
94                                  However, in addicts, drug cues typically do not follow seeking actio
95                                     In human addicts, drug relapse and craving are often provoked by
96 emotional and motivational state observed in addicts during cocaine withdrawal.
97                                         When addicts encounter cues previously associated with drug,
98 nical observations imply that female cocaine addicts experience enhanced relapse vulnerability compar
99 rose seeking, and may explain the difficulty addicts experience in managing relapse to cocaine use.
100 may contribute to the difficulties withdrawn addicts experience when trying to resist relapse.
101 valued reinforcers that are unable to divert addicts from seeking and consuming the drug.
102 ued regarding the neurobiology of the opiate-addicted human brain.
103                       Sensitivity of six MET-addicted human tumor cells to three MET kinase inhibitor
104               Here, using a panel of kinase-'addicted' human cancer cell lines, we found that most ce
105 ethod reveals that the response of 'oncogene-addicted' human cancer cells to tyrosine kinase inhibito
106 ncreasingly uncontrolled cocaine use seen in addicted humans.
107 lf-administration, and in the NAc of cocaine-addicted humans.
108 that continue to take the drug compulsively (addicted) in the presence of footshocks.
109 oral dependent variables in 73 human cocaine-addicted individuals and 47 healthy controls, we hypothe
110                                The brains of addicted individuals are altered and respond very differ
111 ug abstinence is frequently compromised when addicted individuals are re-exposed to environmental sti
112 uring cognitive processing characterize drug addicted individuals as compared with healthy controls.
113 ioral trait frequently seen not only in drug-addicted individuals but also in individuals who patholo
114 ing behavior that resemble the ways in which addicted individuals consume drugs.
115 explanation for the puzzling question of why addicted individuals continue drug consumption despite n
116                                              Addicted individuals continue substance use despite the
117 ned cues (stimuli associated with the drug), addicted individuals experience an intense desire for th
118 trate fMRI response to drug words in cocaine-addicted individuals in mesencephalic regions as possibl
119 ntions to change the maladaptive behavior of addicted individuals mainly rely on psychosocial approac
120           This functional overlap results in addicted individuals making poor choices despite awarene
121 een 1 month and 6 months of abstinence, when addicted individuals may be most vulnerable to, and perh
122 in prescription opiates may reduce harm, but addicted individuals may switch to other opiates such as
123                                              Addicted individuals pursue substances of abuse even in
124 umption opportunities, are inappropriate for addicted individuals seeking treatment or abstaining.
125 ng positive for cocaine in urine, 26 cocaine addicted individuals testing negative for cocaine in uri
126                              Sixteen cocaine addicted individuals testing positive for cocaine in uri
127 dered neurobiology in a minority of severely addicted individuals, which undermines the implementatio
128 ay perpetuate drug use or trigger relapse in addicted individuals.
129 red to treatment-seeking and abstaining drug-addicted individuals.
130 on, and increased drug taking and relapse in addicted individuals.
131 ction, the only effective treatment for many addicts is contingency management, a behavioral treatmen
132        The main challenge in treating opioid addicts is to maintain abstinence due to the affective c
133 ople is compared to alcohol-addicted and non-addicted lean controls.
134 T1L-target genes, and proliferation of DOT1L-addicted leukemic cells.
135 tant colonies that arose from a single, EGFR-addicted lung cancer cell.
136 ependent IL-6 secretion unleashed previously addicted lung tumor cells from their EGFR dependency.
137 ation and survival of lymphocytes and CARMA1-addicted lymphoma types.
138 e target for abrogating tumorigenesis in MYC-addicted lymphoma.
139 mmunodeficiency virus infections in morphine-addicted macaques.
140 because of hyperresponsiveness to food cues, addicts may relapse following exposure to their drug of
141 easant reward often elicit desire, which, in addicts, may become compulsive.
142 ion-related measures identified a subset of "addicted" mice ( approximately 19%) that exhibited inten
143 ntal factors, including stress responsivity, addict mindset, and social setting.
144 f habitual behaviors, evidence suggests that addicts must be very creative and flexible when trying t
145 ving a food-addicted obese group, a non-food addicted obese group and a lean control group.
146 ere performed in 66 people, involving a food-addicted obese group, a non-food addicted obese group an
147   However food-addicted differ from non-food-addicted obese people by opposite activity in the anteri
148 Brain activity in food-addicted and non-food-addicted obese people is compared to alcohol-addicted an
149                       Methamphetamine (meth) addicts often exhibit enduring cognitive and neural defi
150   However, to procure such drugs as cocaine, addicts often require considerable ingenuity and flexibi
151 ), indicating that, e.g., astrocytes in drug addicts on average exhibit significant elongation of fib
152 ns a major drug of abuse and is preferred by addicts over morphine.
153 -glutamine levels in the striatum of cocaine-addicted participants (n = 15) compared with healthy con
154 r p63-driven paracrine FGFR2 signaling as an addicting pathway in human cancer and suggest a new appr
155 f principle that targeting multiple oncogene addicted pathways can prevent therapeutic resistance.
156 Positron emission tomography studies in drug-addicted patients have shown that exposure to drug-relat
157     Here we report on impairments in cocaine-addicted patients to act purposefully toward a given goa
158                                           In addicted patients, decision making may also strongly dep
159                                  Some heroin addicts persistently fail to benefit from conventional t
160 critically involved in the development of an addicted phenotype in females.
161 e examined its role in the development of an addicted phenotype in intact male and female rats, and i
162 food rewards following the development of an addicted phenotype in male and female rats.
163 nistration, confirming the development of an addicted phenotype in the extended-access group.
164 nd females, indicating the development of an addicted phenotype in these groups.
165  are sex differences in the magnitude of the addicted phenotype under optimized conditions that induc
166 e less cocaine exposure before developing an addicted phenotype with evidence implicating estradiol a
167 additional measure for the development of an addicted phenotype, separate groups of rats were screene
168 e an enhanced vulnerability to developing an addicted phenotype, they may be similar to males once ad
169 tration, both males and females developed an addicted phenotype, with 9 of 11 males and 8 of 10 femal
170  known to produce either a nonaddicted or an addicted phenotype.
171 stream pathways that relieve the cell of its addicted phenotype.
172  across abstinent, recreationally using, and addicted populations demonstrate complexities in interpr
173                                           In addicted populations, both hyporesponsiveness and hyperr
174 s, drug metabolites, and treatment status in addicted populations.
175 sing in abstinent, recreationally using, and addicted populations.
176 ibits miR-155 and slows the growth of these "addicted" pre-B-cell tumors in vivo, suggesting a promis
177                                  Maintaining addicted pregnant women on long-acting opioid receptor a
178 om California who were enrolled in the Civil Addict Program from 1962 onward by use of a natural hist
179 986 that cue-induced drug craving in cocaine addicts progressively increases over the first several w
180 y smaller among cocaine, opiate, and alcohol addicts (proportion=0.76-0.78) than nonaddicted African
181                           We found that METH-addicted rats did indeed show differential DNA hydroxyme
182 ferential DNA hydroxymethylation observed in addicted rats occurred mostly at intergenic sites locate
183 s when compared with mRNA expression in METH-addicted rats.
184                                  Many opioid addicts regularly consume alcohol (ethanol), and post-mo
185 contingency management is discontinued, most addicts relapse to drug use.
186 edicting which nutrients cancer cells become addicted remains difficult.
187                                              Addicts repeatedly relapse to drug seeking even after ye
188 elieved that addictive drugs often render an addict's brain reward system hypersensitive, leaving the
189 -associated cues have profound effects on an addict's emotional state and drug-seeking behavior.
190 of the BCR-ABL kinase transforms cells to an addicted state that requires glucose metabolism for surv
191 ccount for the near-permanent quality of the addicted state.
192 whose function is suppressed in the oncogene-addicted state.
193 airments of prefrontal cortex in the alcohol-addicted state.
194 ithdrawal relate, both in a non-addicted and addicted state.
195 expression have been studied as mediators of addicted states.
196 ested during early or protracted withdrawal, addicted subjects show lower levels of D2 receptors in s
197                                 In contrast, addicted subjects show significant DA increases in stria
198  effects but have unexpectedly shown that in addicted subjects, drug-induced DA increases (as well as
199 d PET to characterize the brain DA system in addicted subjects.
200           In this manner, the cells are drug-addicted, suggesting that melanoma cells evolve a 'just
201 aFosB and CaMKII in the NAc of human cocaine addicts, suggesting possible targets for future therapeu
202 targeting non-oncogenes to which cancers are addicted supports the future development and potential a
203 bey and colleagues describe a unique antigen-addicted T cell population bearing characteristics of bo
204                        Through targeting "HR-addicted" temozolomide-resistant glioblastoma cells via
205             Here, we review studies on human addicts that assess the neurobiological changes that ari
206 wed expression changes in alcoholics/cocaine addicts; these factors included genes involved in GABA s
207 g pre-existing oncogenic pathways in cystine-addicted TNBC with prominent mesenchymal features.
208 ed kinase inhibitors shows that they are not addicted to a single survival pathway.
209 proneural" and "classical" subtypes that are addicted to aberrant signaling from integrin alphavbeta3
210  based on the assumption that PDAC cells are addicted to activated KRAS, but this assumption remains
211  question the degree to which PDAC cells are addicted to activated KRAS, by illustrating adaptive non
212                          Indeed, individuals addicted to alcohol also crave alcoholic beverages and s
213 -resolution structural images of 42 patients addicted to alcohol and 32 healthy control participants.
214 the major behavioral characteristic of those addicted to alcohol but it is not the only one.
215 icity effects in bilateral CA2+3 in patients addicted to alcohol.
216 bstinence and prevent relapse in individuals addicted to alcohol.
217                           Many tumors become addicted to autophagy for survival, suggesting inhibitio
218 mely common, suggesting that melanoma is not addicted to B-raf.
219                           Tumor cells become addicted to both activated oncogenes and to proliferativ
220 , but not the growth of cancers that are not addicted to c-MET.
221 vide further evidence that myeloma cells are addicted to c-MYC activity and that c-MYC is a promising
222 g, and Participants: Seventy-six individuals addicted to cocaine with varying durations of abstinence
223            Results: Among the 76 individuals addicted to cocaine, 19 (25%) were abstinent for 2 days,
224       Although both males and females become addicted to cocaine, females transition to addiction fas
225 lified MYCC, indicating that these cells are addicted to continued MYCC overexpression.
226 nduce growth suppression in the cancer cells addicted to cyclin D1 expression.
227 t cells transformed by oncogenic RasV12 were addicted to DDX5, because reduction of DDX5 was sufficie
228 this difficulty, a cancer cell often becomes addicted to DNA repair pathways other than the one that
229 dual differences in the propensity to become addicted to drugs, leading to the description of addicti
230 n obese rats, as has been reported in humans addicted to drugs.
231 ram tumor metabolism and render cancer cells addicted to extracellular nutrients.
232 e large B cell lymphomas (DLBCLs) are mostly addicted to EZH2 but not the more differentiated activat
233 tant plus c-Myc appeared to be become highly addicted to FGFR-dependent prosurvival activities, as sm
234 suggesting that some FLT3/ITD AML may not be addicted to FLT3 signaling.
235 d metabolism, rendering the transformed cell addicted to glucose for the maintenance of survival.
236  tumour cells are more proliferative but not addicted to HER2, consistent with activation of multiple
237  kinases and the reason why some kinases are addicted to Hsp90 while closely related family members a
238 Here we show that ALCLs of both subtypes are addicted to IRF4 signaling, as knockdown of IRF4 by RNA
239 ata demonstrate that miR-125a-induced MPN is addicted to its sustained overexpression, and highlight
240 n the degree to which pancreatic cancers are addicted to KRAS by illustrating adaptive nongenetic and
241        Here we show that a subset of MCLs is addicted to MALT1, as its inhibition by either RNA or ph
242  we demonstrated that MYC-induced tumors are addicted to mutant beta-catenin, and the combined inacti
243 erapeutic strategy to manage tumors that are addicted to mutant p53 for survival.
244 tumor, suggesting that tumors continue to be addicted to MYC.
245 ma (DLBCL) is an aggressive lymphoma that is addicted to NF-kappaB signaling through the CARD11-BCL10
246 who think them safe or by those sufficiently addicted to nicotine to not be able to quit e-cigarette
247 g effects that increase the risk of becoming addicted to nicotine.
248 id in HCC1599 breast cancer cells, which are addicted to NOTCH1 for growth/viability.
249  results demonstrate that tumours can become addicted to oncomiRs and support efforts to treat human
250 annabis users progress to using and becoming addicted to other drugs, but the reasons for this progre
251 ain that increase the likelihood of becoming addicted to other drugs.
252 ts suggest that tumors induced by MYC remain addicted to overexpression of this oncogene.
253  melanomas with BRAF inhibitors renders them addicted to oxidative phosphorylation.
254 tion sensitizers or as monotherapy in tumors addicted to particular DNA-repair pathways.
255 PI3K/AKT-dependent GCB DLBCL subtype that is addicted to PI3K and MYC signaling and suggest that phar
256  including Bortezomib-resistant MM cells are addicted to RelB-p52 for survival.
257                               Our society is addicted to steel.
258  cells transformed by Hoxa9 and Meis1 become addicted to targetable signaling pathways.
259 utant allelic ratios and, in vitro, are more addicted to the aberrant signaling from the FLT3/ITD onc
260                                       PDA is addicted to the activity of the mutated KRAS oncogene wh
261 RBB2-amplified breast tumour lines are truly addicted to the ERBB2 oncogene at the mRNA level and dis
262                          Tumour cells become addicted to the expression of initiating oncogenes like
263 large B-cell lymphoma (DLBCL) cell lines are addicted to the expression of OCT2 and its coactivator O
264                      Thus, CLL is a disease "addicted to the host" and is dependent on pathways that
265 d that tumor cells carrying a mutant p53 are addicted to the mutant for cell survival and resistance
266 carcinoma cells that carry a mutant p53, are addicted to the mutant for their survival and resistance
267  (MM) cell lines and primary tumor cells are addicted to the MYC oncoprotein for survival.
268 gy enables melanomas that would otherwise be addicted to the Ras-Raf pathway to instead tolerate path
269 tablished that glioblastomas are selectively addicted to this pathway as a strategy to evade oncogene
270 ut tumor cells are also affected by, or even addicted to, signals from the microenvironment.
271 on learning, however, impairs the ability of addicts to generalize extinction training to the drug-ta
272 rapy and is characterized by an inability of addicts to inhibit relapse to drug use.
273 a failure of the brain mechanisms that allow addicts to learn about and mentally simulate non-drug co
274 cci with high transformation capability are "addicted" to a "hypertransformable" state for optimal fi
275                            Such cancers are "addicted" to EGFR, and treatment with a TKI invariably l
276 gly, MYCN-amplified neuroblastoma cells are "addicted" to LDHA enzymatic activity, as its depletion c
277 ors displaying c-MET gene amplification are "addicted" to MET signaling and therefore are very sensit
278        In these contexts, transformed cells 'addicted' to AP-1 activity are rendered susceptible to S
279 on-small cell lung cancer (NSCLC) cells are 'addicted' to basal autophagy that reprograms cellular me
280  tumour cells expressing activated AKT1 are 'addicted' to FoxM1, as they require continuous presence
281  recent findings suggest that tumors can be 'addicted' to miRNA overexpression, yielding a possible t
282 hese genetic aberrations cause tumors to be 'addicted' to NF-kappaB, which can be exploited therapeut
283      Notably, KIAA1199 silencing in oncogene-addicted tumor cells improved therapeutic responses and
284   Notably, increased NRP2 expression in EGFR-addicted tumor cells led to downregulation of EGFR prote
285 er, STK38 knockdown suppresses growth of MYC-addicted tumors in vivo, thus providing a novel viable t
286 er, STK38 knockdown suppresses growth of MYC-addicted tumors in vivo, thus providing a novel viable t
287 represents a promising approach to treat RAS-addicted tumors.
288                                              Addicts use drugs compulsively and will continue to do s
289 cement theories of drug addiction posit that addicts use drugs to alleviate negative mood states.
290 morphology of hippocampal astrocytes in drug addicts versus controls and further supports the involve
291             Following the scans, the cocaine-addicted volunteers performed cocaine self-administratio
292 cue-elicited craving among detoxified heroin addicts was substantially attenuated following R-E train
293 recipitates drug-seeking behavior in cocaine addicts, we also postulated that cocaine manifests its e
294     To better model drug-seeking behavior in addicts, we first developed a novel cocaine self-adminis
295                                      Cocaine addicts were randomized to receive vigabatrin 3000 mg/da
296 ation of both brain regions is seen in human addicts when reexposed to the drug.
297 ral and connectivity changes in the brain of addicts which appear permanent, making control of learne
298 controlled trial, we enrolled chronic heroin addicts who were receiving conventional oral treatment (
299  and strategies for the treatment of cancers addicted with glutamine metabolism.
300 e discounting of future rewards in stimulant addicts without affecting a go/no-go task.

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